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Comparative study of Danshen and Siwu decoction based on the molecular structures of the components and predicted targets

Abstract

Background

The sentence of “Danshen (Salvia Miltiorrhizae Radix et Rhizoma) and Siwu decoction are similar in function” was first recorded in an ancient Chinese medical book “Fu Ren Ming Li Lun”. This theory has far-reaching influence on the clinical practice of Chinese medicine and is highly respected by Chinese medical doctors. However, the theory has limitations and controversial part for there is no in-depth and system comparative study.

Methods

We collected the molecular structures of 129 compounds of Danshen and 81 compounds of Siwu decoction from the literatures. MACCS fingerprints and Tanimoto similarity were calculated based on the molecular structures for comparing the structural feature. Molecular descriptors which represent physical and chemical properties were calculated by Discovery Studio. Principal component analysis (PCA) of was performed based on the descriptors. The ADMET properties were predicted by FAF-Drugs4. The effect targets for the compounds with good ADMET properties were confirmed from experimental data and predicted using the algorithm comprising Bernoulli Naive Bayes profiling.

Results

Based on the molecular structures, the presented study compared the structural feature, physical and chemical properties, ADMET properties, and effect targets of compounds of Danshen and Siwu decoction. It is found that Danshen and Siwu decoction do not have the same main active components. Moreover, the 2D structure of compounds from Danshen and Siwu decoction is not similar. Some of the compounds of Danshen and Siwu decoction are similar in 3D structure. The compounds with good ADMET properties of Danshen and Siwu decoction have same predicted targets, but some have different targets.

Conclusions

It can be inferred from the result that Danshen and Siwu decoction have some similarities, but also present differences from each other in the structure of the compounds and predicted targets. This may be the material basis of the similar and different traditional efficacy of Danshen and Siwu decoction. The setence of “ Danshen and Siwu decoction are similar in function. “ which is used in clinical has its material basis and target connotation to some extent. However, the traditional effects of Danshen and Siwu decoction are not exactly the same.

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Background

Danshen is commonly used in Chinese medicine. Danshen as a Chinese medicine is the dried rhizoma of the plant Salvia miltiorrhiza Bge. It was first recorded in “Shennong Ben Cao Jing” and is one of 40 large-scale medicinal materials. Danshen is a kind of medicine used for treating disease of the heart and liver, which is bitter and slightly cold in nature according to TCM theory. It has the effects of promoting blood circulation, relieving pain, clearing heart and eliminating trouble, cooling blood and eliminating phlegm [1]. Danshen is widely used in the clinical practice of traditional Chinese medicine. According to statistics, there are 1007 prescriptions containing Danshen in the “Dictionary of Traditional Chinese Medicine Formula” [2]. The “Chinese Pharmacopoeia (2015)” edition contains 127 kinds of Chinese patent medicines of Danshen, accounting for about 10% of the total [1].

Siwu decoction was originally recorded in the “Tai ping hui min he ji ju fang”, which was boiled from four kinds of herbs: Dihuang, Danggui, Baishao, and Chuanxiong (Table 1). These four traditional Chinese medicines which are recorded in the Chinese Pharmacopoeia are common traditional Chinese medicinal materials. After long-term clinical practice, Siwu decoction has been proven to be effective in nourishing the liver, regulating blood circulation and strengthening [3]. “Pu Fu Zhou Medical Experience” evaluates Siwu decoction as “a prescription for all blood diseases” [4].

Table 1 The information of Chinese medicines involved in the study

In the theory of “Fu ren ming li lun”, “ Siwu decoction cures women’s diseases, regardless of the amount of menstrual water before and after childbirth, can be replaced by Danshen, for the same treatment” [5]. According to “Ben cao hui yan”, Danshen has the effect of Siwu decoction [6]. These have formed the theory that “Danshen and Siwu decoction are similar in function. “, which produced a profound impact on the clinical practice of Chinese medicine. However, the theory has limitations and controversial part for there is no in-depth and system comparative study on Danshen and Siwu decoction.

It is well known that one source of original research of traditional Chinese medicine is the study of modern pharmacodynamic material basis based on the traditional efficacy of traditional Chinese medicine [7]. The compounds with similar structures and chemical properties may have similar biological function and target. This theory has been widely recognized and applied in medicinal chemistry [8]. For example, neuraminidase which binds to sialic acid is one of the targets of influenza treatment drugs. Based on the structure of sialic acid, the sialic acid analogue Zanamivir was obtained, which was approved by the FDA in 2009 as a clinical treatment for influenza [9].

In this study, we collected the molecular structures of the chemical constituents of Danshen and Siwu decoction from the literature. Based on molecular descriptors, the molecular structures of Danshen and Siwu decoction are compared in terms of similarities, ADMET properties and effect targets. We also compare the molecular scaffolds of Danshen and Siwu decoction. Based on the structure of the material composition, we attempt to compare Danshen and Siwu decoction systematically, revealing the scientific connotation of the theory of “Danshen and Siwu decoction are similar in function. “, and provide a scientific basis for the clinical application.

Methods

Data

In this study, we collected the molecular structures of the chemical constituents of Danshen and Siwu decoction from the literatures [5, 10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65]. The molecular structure of 129 compounds of Danshen components and the molecular structure of 81 compounds of Siwu decoction components were confirmed (shown in Supplementary information). The structures of the main components of Danshen are tanshinone and derivatives, acid and derivatives and ester and derivatives. The main components in Siwu decoction are acids, esters, nitrogen-containing compound and polycyclic hydrocarbon, such as ferulic acid, ginger sugar ester, paeoniflorin, galloyl paeoniflorin [49]. The scaffolds and representative structures of Danshen and Siwu decoction are shown in Tables 2 and 3.

Table 2 Scaffolds and representative structures of Danshen
Table 3 Scaffolds and representative structures of Siwu decoction

Structural similarity comparison

For structural similarity comparison, based on the molecular structure of Danshen and Siwu decoction, MACCS fingerprints describing the 2D molecular structure were calculated.

The MACCS fingerprint is a descriptor that contains 166 codes representing the molecular structure “0” or “1”. The “0” indicates that the specified substructure does not exist in the compound, and the “1” indicates that the specified substructure exists. The Tanimoto similarity coefficient based on the MACCS fingerprint were calculated through through Eq. (1) to represent the similarity.

$$ \mathrm{T}\left(\mathrm{x},\mathrm{y}\right)=\frac{\sum {\boldsymbol{x}}_{\boldsymbol{i}}{\boldsymbol{y}}_{\boldsymbol{i}}}{\sqrt{\sum {\boldsymbol{x}}_{\boldsymbol{i}}^{\mathbf{2}}}+\sqrt{\sum {\boldsymbol{y}}_{\boldsymbol{i}}^{\mathbf{2}}}-\sum {\boldsymbol{x}}_{\boldsymbol{i}}{\boldsymbol{y}}_{\boldsymbol{i}}} $$
(1)

Where xi, yi is two vectors generated by MACCS fingerprints, respectively. The differences between the 2D structures of Danshen and Siwu decoction can be compared by MACCS fingerprint.

Comparison of physical and chemical properties

Molecular descriptors were calculated by Discovery Studio (2017R2), including 2D descriptors and 3D descriptors. 2D descriptors included number of atoms, molecular weight, ALogP and so on. 3D descriptors included Dipole, Jurs Descriptors, Principal Moments of Inertia, Shadow Indices and Propgen Properties [66]. Dipole properties have been associated with the recognition and binding of ligand and receptor. Jurs Descriptors combines the shape and electronic information of a molecule. These descriptors calculate the partial charge of an atom onto the solvent accessible surface area of individual atoms [67]. Principal Moments of Inertia characterizes the size of a molecule and calculates the inertia of the principal axes [68]. Shadow Indices is a type of topology descriptor representing the shape of a molecule [69]. The ADMET properties of Danshen and Siwu decoction were also predicted by FAF-Drugs4, including Molecular Weight (MW), logP, logD, logSw, topological Polar Surface Area (tPSA), Hydrogen Bond Donnors (HBD), Hydrogen Bond Acceptors (HBA), etc. [70].

Target prediction

For the compounds with good ADMET properties, we look for the confirmed targets from experimental data. And for the compounds with good ADMET properties but no experimental data, calculations of predicted targets were performed. According to the chemical structure of the components, the algorithm comprising Bernoulli Naive Bayes profiling was used to predict the target of Danshen and Siwu decoction [71, 72]. The model covered 195 million bioactivity data from ChEMBL [73] and PubChem [74]. It predicted the target of each compound through full set of pathways from NCBI BioSystems [75].

Results

Structural similarity comparison

In the compound of Danshen and Siwu decoction, ferulic acid, caffeic acid and protocatechuic acid are all present. In order to calculate the similarity, MACCS fingerprints were used for the compounds. The similarity comparative results are shown in Fig. 1. The similarities of Danshen and Siwu decoction based on MACCS fingerprints are concentrated at 0.3–0.4. There are 1841 of 9916 (18.57%) of the similarities based on MACCS fingerprints more than 0.5. The number of 1261 (12.72%) of the similarities are in the range of [0.5, 0.6). The number of 480 (4.84%) of the similarities are in the range of [0.6, 0.7). The number of 74 (0.74%) of the similarities are in the range of [0.7, 0.8). The number of 18 (0.18%) of the similarities are in the range of [0.8, 0.9). The number of 8 (0.08%) of the similarities are in the range of [0.9, 1.0). The 2D structure of the compounds from Danshen and Siwu decoction is not similar based on the results of of MACCS fingerprints calculation.

Fig. 1
figure 1

The hot map for similarity comparative result of Danshen and Siwu decoction, where No.1–129 represents the compound in Danshen, No.130–210 represents the compound in Siwu decoction

Comparison of physical and chemical properties

We calculated the basic physical and chemical properties based on the molecular structures by Discovery Studio [66]. The scattered distributions of MW and LogP of Danshen and Siwu decoction are shown in Fig. 2. For the compounds of Danshen, the molecular weight (MW) range is 138–774. For Siwu decoction, the compounds have a molecular weight (MW) range of 75–941. The range of LogP for Danshen is − 7.85-10.63. For Siwu decoction, the range of LogP is − 7.06-8.08. The compounds in Danshen and Siwu decoction are somewhat similar in basic physical and chemical properties.

Fig. 2
figure 2

The scattered distributions of MW and LogP of Danshen and Siwu decoction

The method of principal component analysis (PCA) of based on the 3D descriptors was used to represent the chemical space of Danshen and Siwu decoction. The first two principal components obtained by PCA were used to describe the molecules. The chemical space characterized by the first two principal components from the method of PCA based on 3D descriptors for Danshen and Siwu decoction are shown in Fig. 3. From the PCA analysis, it can be found that the cumulative contributions of the two resulting principal eigenvectors (PC1 and PC2) are 90.23 and 9.37%, respectively. The accumulation of PC1 and PC2 reaches 99.60%, which indicates that results of PCA based on the 3D descriptors can be used to represent the higher-dimensional data. The chemical spaces by PCA based on the 3D decriptors for Danshen and Siwu decoction almost completely covered each other. This shows that the 3D molecular structures of Danshen and Siwu decoction compounds are somewhat similar.

Fig. 3
figure 3

The chemical space characterized by the first two principal components obtained by PCA for compounds of Danshen and Siwu decoction

ADMET properties prediction

The computational predictions of some ADMET properties (Adsorption, Distribution, Metabolism, Excretion and Toxicity) for the main components of Danshen and Siwu decoction were calculated by FAF-Drugs4 [70]. The distributions diagrams of the values of logP, tPSA, MW, Rotatable Bonds, HBD and HBA computed for the main components of (a) Danshen and (b) Siwu decoction were shown in Fig. 4. For Danshen, the molecular weight of most compounds is around 300, logP is mostly concentrated at 0–5, HBD concentrated at 0–3, HBA is mostly concentrated at 2–5, most compounds have less than 3 rotatable bonds, and TPSA distribution is concentrated in 50–100. For Siwu decoction, the molecular weight of most compounds is below 200, logP is mostly concentrated at − 4-4, HBD concentrated at 0–5, HBA is mostly concentrated at 2–6, most compounds have less than 6 rotatable bonds, and TPSA distribution is concentrated below 100. The ADMET properties of compounds in Danshen and Siwu decoction are somewhat similiar.

Fig. 4
figure 4

The distributions diagrams of the values of logP, tPSA, Molecular Weight, Rotatable Bonds, H-Bonds Acceptors and Donors computed for the main components of (a) Danshen and (b) Siwu decoction

Target analysis

For the compounds with good ADMET properties, we look for the confirmed targets from experimental data. The targets of caffeic acid, ferulic acid, isoferulic acid, rosmarinic acid, vanillic Acid, protocatechuic acid, gallic acid, diethyl phthalate and ligustilide can be found on ChEMBL [73]. We have verified according to the original data from scientific literatures and PubChem BioAssays [74]. The compounds and their proven targets are shown in Supplementary information Table S1. For the compounds with reported experimental data, the caffeic acid has 221 targets including arachidonate 5-lipoxygenase related to inflammation [76], which is also the result of predicted target. The vanillic Acid, ferulic acid and Isoferulic acid has 45, 240 and 16 targets, respectively. The predicted target is arachidonate 5-lipoxygenase. There is no relevant experimental data to confirm this predicted target. The rosmarinic acid has 73 targets including aldose reductase related to diabetes mellitus [77], which is also the result of predicted target. The above compounds are from Danshen. The protocatechuic acid has 72 targets including carbonic anhydrase 2 related to glaucoma, osteoporosis, epilepsy, tumors [78], which is also the result of predicted target. Gallic acid, Diethyl phthalate and ligustilide have 153, 17 and 153 targets, respectively. The predicted target is integrase, lysosomal alpha-glucosidase and ubiquitin carboxyl-terminal hydrolase 1. There is no relevant experimental data to confirm these predicted targets. The above compounds are from Siwu decoction.

For the compounds with good ADMET properties but no experimental data, targets can be found by calculating predictions. The algorithm comprising Bernoulli Naive Bayes profiling [71, 72] was used to predict the target of the compounds. The most likely predicted target for each structure (greater than 0.9) was retained. We conducted a statistical analysis of the target of the compounds. The predicted targets of compounds with good ADMET predicted property of Danshen and Siwu decoction are shown in Fig. 5 and Table 4.

Fig. 5
figure 5

The predicted targets of partly compounds of Danshen and Siwu decoction. The compounds in Danshen are indicated in pink, the compound in Siwu decoction are indicated in blue, the predicted targets are indicated in yellow and the related disease are indicated in green

Table 4 The predicted targets of partly components of Danshen and Siwu decoction. Danshen

In Fig. 5, for the compounds without reported experimental data, multiple Danshen components act on targets DNA polymerase kappa, DNA topoisomerase 1, Glucocorticoid receptor, Lysine N-methyltransferase 6, Replicase polyprotein 1a, thioredoxin glutathione reductase, and Vitamin D3 receptor. Multiple Siwu decoction components act on targets Carbonic anhydrase 7 and arinic acetylcholine receptor M1. Among the above targets, DNA polymerase kappa, DNA topoisomerase 1, Carbonic anhydrase 7, Glucocorticoid receptor, Lysine N-methyltransferase 6 and Vitamin D3 receptor are related to tumor, arinic acetylcholine receptor M1 is related to neurological diseases, Replicase polyprotein 1a is relataed to virus and thioredoxin glutathione reductase is an essential parasite enzyme [79,80,81,82,83,84,85,86]. For the predicted target, Bile acid receptor and TrpV4 are the targets for cardiovascular disease. The result is consistent with the clinical effects of Danshen [87]. The predicted target types of compounds of Danshen and Siwu decoction are overlapped. They are predicted to act on some anti-tumor targets.

The predicted targets of multiple Danshen and Siwu decoction are Arachidonate 5-lipoxygenase, DNA topoisomerase 2-alpha, integrase, M-phase inducer phosphatase 2, retinoic acid receptor RXR-alpha, and Ubiquitin carboxyl-terminal hydrolase 1(UCH-L1). For the above predicted targets, Arachidonate 5-lipoxygenase, DNA topoisomerase 2-alpha, M-phase inducer phosphatase 2 and retinoic acid receptor RXR-alpha are related to tumor, integrase is an important target for virus, is related to skin diseases, and UCH-L1 is related to neurological diseases [88,89,90,91,92,93]. These are same predictive targets for compounds of Danshen and Siwu decoction.

Discussion

In this study, we compared the structural feature, physical and chemical properties, ADMET properties, and effect targets of compounds of Danshen and Siwu decoction.

MACCS fingerprints were calculated based on the molecular structure of Danshen and Siwu decoction for structural similarity comparison. The similarity is concentrated at 0.3–0.4. The 2D structure of Danshen and Siwu decoction is not similar based on the results of MACCS fingerprints calculation. The basic physical and chemical properties were calculated based on the molecular structures. Principal component analysis (PCA) of the 3D descriptors was performed to identify the chemical space of Danshen and Siwu decoction. The chemical spaces for Danshen and Siwu decoction nearly completely covered each other. The result shows that the 3D molecular structures of Danshen and Siwu decoction compounds are somewhat similar. The 2D structure of Danshen and Siwu decoction is not similar, but the compounds are somewhat similar in basic physical and chemical properties and 3D structure.

The ADMET properites of the compoounds were calculated FAF-Drugs4 [70]. The molecules with good ADMET properties can be considered to meet the following conditions:

  1. (i)

    Oral absorption estimation: the range of logP is − 2 to 5, the range of MW is 150 to 500, the range of tPSA is 20 to 150, the range of Rotatable Bonds is 0 to 10, the range of H-Bonds Acceptors is 0 to 10 and the range of Donors is 0 to 5 (http://fafdrugs4.mti.univ-paris-diderot.fr/index.html);

  2. (ii)

    Oral bioiavailability evaluation: Lipinski’s RO5 [94]; Veber rules [95]; Egan rules [96];

  3. (iii)

    Solubility: Solubility Forecast Index [97];

  4. (iv)

    Drug safety: GSK 4/400 rule [98]; no structural alerts [99];

The targets of the compounds with good predictive properties of ADMET were focused. We look for the confirmed targets from experimental data. The targets of caffeic acid, ferulic acid, isoferulic acid, rosmarinic acid, vanillic Acid, protocatechuic acid, gallic acid, diethyl phthalate and ligustilide are comfirmed. Some confirmed targets are the same as predicted targets for these compounds. And for the compounds with good ADMET properties but no experimental data, the algorithm comprising Bernoulli Naive Bayes profiling [71, 72] was used to predict the target of the compounds. The most likely predicted target for each structure (greater than 0.9) was retained. The predicted target types of compounds of Danshen and Siwu decoction are overlapped. They are predicted to act on some anti-tumor targets, such as DNA polymerase kappa, DNA topoisomerase 1, Carbonic anhydrase 7, Glucocorticoid receptor, Lysine N-methyltransferase 6 and Vitamin D3 receptor. There are same predictive targets for compounds of Danshen and Siwu decoction, such as Arachidonate 5-lipoxygenase, DNA topoisomerase 2-alpha, integrase, M-phase inducer phosphatase 2, retinoic acid receptor RXR-alpha, and Ubiquitin carboxyl-terminal hydrolase 1(UCH-L1). The effect targets for Danshen and Siwu decoction have similarities.

Conclusion

Based on molecular structures, the study aimed to scientifically compare Danshen and Siwu decoction which are similar in function but not the same. Danshen and Siwu decoction were compared systematically based on the molecular structure of the components, including the structural feature, physical and chemical properties, ADMET properties, and effect targets. The molecular structure of 129 compounds of Danshen components and the molecular structure of 81 Siwu decoction compounds were confirmed in the study. The 2D structure of Danshen and Siwu decoction is not similar, but parts of the compounds are similar in basic physical and chemical properties and 3D structure. We calculated the ADMET properties, and obtained several compounds have good oral absorption, oral bioiavailability, solubility and safety. The components of Danshen and Siwu decoction similar in structure, but there are also differences. These compounds were used for further target research. In the target research, it was found that that the compounds of Danshen and Siwu decoction have same effect targets, such as tumor-related targets, neurological-related targets, but they also have different targets. Through the studies and conclusions, it can be found that the theory of “Danshen and Siwu decoction are similar in function. “ which is used in clinical has scientific basis and connotation to some extent. However, the effects of Danshen and Siwu decoction are not exactly the same. This is significant for the use of traditional Chinese medicine on clinic.

Availability of data and materials

The molecular structures of compounds used in this study can be found in txt file named “Salvia miltiorrhiza.txt” and “Siwu detcotion.txt”. The compounds and their proven targets can be found in Table S1. The datasets used and/or analyzed for this study are available from the corresponding author by reasonable request.

Abbreviations

MW:

Molecular Weight

tPSA:

Topological Polar Surface Area

HBD:

Hydrogen Bond Donnors

HBA:

Hydrogen Bond Acceptors

PCA:

Principal component analysis

UCH-L1:

Ubiquitin carboxyl-terminal hydrolase 1

References

  1. National Pharmacopoeia Commission. Pharmacopoeia of the People's Republic of China: 2015 edition. One [M]. Beijing: China Medical Science and Technology Press; 2015.

    Google Scholar 

  2. Peng H. Dictionary of traditional Chinese medicine formula [M]. Beijing: People’s Medical Publishing House; 1994.

    Google Scholar 

  3. Li H, Li S. Study on pharmacological action of Siwu decoction and its application. Guangming J Tradition Chinese Med. 2016;31:897–8.

    Google Scholar 

  4. China Academy of Traditional Chinese Medicine. Pu Fuzhou Medical Experience [M]: People’s Medical Publishing House; 2005.

  5. Chen J. Danshen is same as Siwu Decotion in function. Beijing: TCM Healthy Life-Nurturing. 2017;7:36–37.

  6. Ni, Z. Ben Cao Hui Yan [M]. Shanghai: Shanghai Science and Technology Press; 2005.

  7. Gong P, Qi J, Yu B. Modern pharmacodynamic material basis research based on traditional efficacy of traditional Chinese medicine is the source of original research. World Sci Technol Modern Tradition Chinese Med. 2017;19:1413–8.

    Google Scholar 

  8. Stumpfe D, Bajorath J. Exploring activity cliffs in medicinal chemistry miniperspective. J Med Chem. 2012;55:2932–42.

    Article  CAS  PubMed  Google Scholar 

  9. Yu K, Luo C, Qin G, et al. Why are oseltamivir and zanamivir effective against the newly emerged influenza a virus (a/H1N1)? Cell Res. 2009;19:1221–4.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Ai CB, Li LN. Salvianolic acids D and E: two new Depsides from Salvia miltiorrhiza. Planta Med. 1992;58:197–9.

    Article  CAS  PubMed  Google Scholar 

  11. Cao J. In vitro anticoagulant effect of Siwu Tangcheng. Chinese J Traditio Chinese Med. 2011;29:1393–4.

    Google Scholar 

  12. Cao JL, Wei JC, Hu YJ, He CW, Chen MW, Wan JB, Li P. Qualitative and quantitative characterization of phenolic and diterpenoid constituents in Danshen (Salvia miltiorrhiza) by comprehensive two-dimensional liquid chromatography coupled with hybrid linear ion trap Orbitrap mass. J Chromatogr A. 2016;1427:79–89.

    Article  CAS  PubMed  Google Scholar 

  13. Chang JY, Chang CY, Kuo CC, Chen LT, Wein YS, Kuo YH. Salvinal, a novel microtubule inhibitor isolated from Salvia miltiorrhizae Bunge (Danshen), with antimitotic activity in multidrug-sensitive and -resistant human tumor cells. Mol Pharmacol. 2004;65:77–84.

    Article  CAS  PubMed  Google Scholar 

  14. Chen H, Zhang Q, Wang X, Yang J, Wang Q. Qualitative analysis and simultaneous quantification of phenolic compounds in the aerial parts of Salvia miltiorrhiza by HPLC-DAD and ESI/MS(n). Phytochem Anal. 2011;22:247–57.

    Article  CAS  PubMed  Google Scholar 

  15. Cheng W, Zeng H, Wang T. Chinese herbal medicine Siwutang extract regulates rat bone marrow mesenchyme chemical composition analysis of stem cell proliferation activity. Chinese J Analytic Chem. 2008;36:459–66.

    Google Scholar 

  16. Dat NT, Jin X, Lee JH, Lee D, Hong YS, Lee K, Kim YH, Lee JJ. Abietane diterpenes from Salvia miltiorrhiza inhibit the activation of hypoxia-inducible factor-1. J Nat Prod. 2007;70:1093–7.

    Article  CAS  PubMed  Google Scholar 

  17. Don MJ, Shen CC, Lin YL, Syu WJ, Ding YH, Sun CM. Nitrogen-containing compounds from Salvia miltiorrhiza. J Nat Prod. 2005;68:1066–70.

    Article  CAS  PubMed  Google Scholar 

  18. Don MJ, Shen CC, Syu WJ, Ding YH, Sun CM. Cytotoxic and aromatic constituents from Salvia miltiorrhiza. Phytochemistry. 2006;67:497–503.

    Article  CAS  PubMed  Google Scholar 

  19. Feng BS, Li SR. Studies on the chemical components of Dan-shen Salvia miltiorrhiza Bunge. Yao Xue Xue Bao. 1980;15:489–94.

    CAS  PubMed  Google Scholar 

  20. Guo J, Sun L, Yan Y, Yu H, Li W, Zhang L, Song X. Four kinds of chemical ingredients in Siwu decoction effect of dissolution. J Tianjin Univ Tradition Chinese Med. 2017;36:374–7.

    Google Scholar 

  21. Han YM, Oh H, Na M, Kim BS, Oh WK, Kim BY, Jeong DG, Ryu SE, Sok DE, Ahn JS. PTP1B inhibitory effect of abietane diterpenes isolated from Salvia miltiorrhiza. Biol Pharm Bull. 2005;28:1795–7.

    Article  CAS  PubMed  Google Scholar 

  22. Huang Y, Liu C, Zhang Q, Wei G. Study on the content determination of four components in Siwu decoction. Chinese Med J Res Pract. 2010;24:64–7.

    CAS  Google Scholar 

  23. Jiang RW, Lau KM, Hon PM, Mak TC, Woo KS, Fung KP. Chemistry and biological activities of caffeic acid derivatives from Salvia miltiorrhiza. Curr Med Chem. 2005;12:237–46.

    Article  CAS  PubMed  Google Scholar 

  24. Kohda H, Takeda O, Tanaka S, Yamasaki K, Yamashita A, Kurokawa T, Ishibashi S. Isolation of inhibitors of adenylate cyclase from dan-shen, the rhizoma of Salvia miltiorrhiza. Chem Pharm Bull. 1989;37:1287–90.

    Article  CAS  Google Scholar 

  25. Kong DY, Liu XJ. Structure of dihydroisotanshinone I of danshen. Yao Xue Xue Bao. 1984;19(1):755–9.

    CAS  PubMed  Google Scholar 

  26. Lee AR, Wu WL, Chang WL, Lin HC, King ML. Isolation and bioactivity of new tanshinones. J Nat Prod. 1987;50:157–60.

    Article  CAS  PubMed  Google Scholar 

  27. Li C, Wang S. Progressin theStudy on theImmunomodulatoryEffectofSiwu decoction and its active component. Lishizhen Med Mater Med Res. 2006;17:1624–5.

    CAS  Google Scholar 

  28. Li XY, Tang HJ, Zhang L, Yang L, Li P, Chen J. A selective knockout method for discovery of minor active components from plant extracts: feasibility and challenges as illustrated by an application to Salvia miltiorrhiza. J Chromatogr B Anal Technol Biomed Life Sci. 2017;1068-1069:253–60.

    Article  CAS  Google Scholar 

  29. Li Y, Tong L, Liang Q, Wang S. Siwutang chemical composition combination for proliferation of human bone marrow stromal cell line HFCL cells and the effects of hematopoietic-related gene expression. Chinese Traditio na l a nd Herbal Drugs. 2005;3:386–9.

    Google Scholar 

  30. Li YG, Song L, Liu M, Hu ZB, Wang ZT. Advancement in analysis of Salviae miltiorrhizae Radix et Rhizoma (Danshen). J Chromatogr A. 2009;1216:1941–53.

    Article  CAS  PubMed  Google Scholar 

  31. Liang M, He L. Study on the effective parts and active components of Angelica Sinensis in Wuwu decoction. Chin J Anal Chem. 2004;32:83–6.

    CAS  Google Scholar 

  32. Liang Q, Li W, Wang H, Wang S. Study on the solubility Changes of Rhizoma Coptidis’ Main Chemical Constituents Influence by the Proportion of Rhizoma Coptidis and Fructus Evodiae. Zhongguo Zhong Yao Za Zhi. 2003;28:347–9.

    Google Scholar 

  33. Liang Q, Lu X, Ma Z, Tan H, Ma B, Gao Y, Wang S. Preliminary study on Siwutang promoting hematopoietic functional components. China J Chinese Mater Med. 2004;29:546–9.

    CAS  Google Scholar 

  34. Liang Q, Ma B, Li W, Zhang C, Wang H, Zhang S, Wei K, Wang S. Studies on the chemical constituents from culbs of hybridized Bulbus Fritillariae Ussuriensis. China J Chinese Mater Med. 2004;29:334–9.

    CAS  Google Scholar 

  35. Lian-Niang L, Rui T, Wei-Ming C. Salvianolic Acid a, a new Depside from Rhizoma of Salvia miltiorrhiza. Planta Med. 1984;50:227–8.

    Article  CAS  PubMed  Google Scholar 

  36. Lin H. Comparative Study on the Active Constituents of Siwutang Traditional Decoction and Formula Granules. Strait Pharm J. 2016;12:66–9.

    Google Scholar 

  37. Lin HC, Chang WL. Diterpenoids from Salvia miltiorrhiza. Phytochemistry. 2000;53:951–3.

    Article  CAS  PubMed  Google Scholar 

  38. Liu AH, Lin YH, Yang M, Guo H, Guan SH, Sun JH, Guo DA. Development of the fingerprints for the quality of the rhizoma of Salvia miltiorrhiza and its related preparations by HPLC-DAD and LC-MS(n). J Chromatogr B Anal Technol Biomed Life Sci. 2007;846:32–41.

    Article  CAS  Google Scholar 

  39. Liu M, Ma Z, Liang Q, Wang Y, Tan H, Xiao C, Xiao R, Zhang B, Gao Y. Game description of multi-component relationship of Siwutang. Chinese J Tradition Chinese Med. 2011;36:1075–8.

    Google Scholar 

  40. Liu P, Duan J, Bai G, Su S. Siwu Tang recipe for gynecological blood stasis syndrome primary dysmenorrhea network analysis of main active ingredients. Chinese J Tradition Chinese Med. 2014;39(1):113–20.

    Google Scholar 

  41. Liu T, He Y, Wang L, Cao L, Zhou L, Fu C. Simultaneous determination of six components in Siwutang by HPLC. Chinese Herbal Med. 2016;7:1602–4.

    Google Scholar 

  42. Luo L, Huang Y, Zhang S, Liang J, Guan Y, Xu S. HPLC fingerprint analysis of amino acids in Siwu decoction. Modern Food Sci Technol. 2012;28:574–8.

    Google Scholar 

  43. Ma Z, Liang M, Zhao J, Wang Y, Tan H, Liang Q, Tang X, Xiao C, Gao Y. Effects of Siwu decoction and its active ingredients on Main drug metabolizing enzymes in rat liver. Chinese Pharm Bull. 2015;31:1319–23.

    Google Scholar 

  44. Pan Y, Zhang L, Chen G. Separation and determination of protocatechuic aldehyde and protocatechuic acid in Salivia miltorrhrza by capillary electrophoresis with amperometric detection. Analyst. 2001;126:1519–23.

    Article  CAS  PubMed  Google Scholar 

  45. Park JW, Lee SH, Yang MK, Lee JJ, Song MJ, Ryu SY, Chung HJ, Won HS, Lee CS, Kwon SH. 15,16-dihydrotanshinone I, a major component from Salvia miltiorrhiza Bunge (Dansham), inhibits rabbit platelet aggregation by suppressing intracellular calcium mobilization. Arch Pharm Res. 2008;31:47–53.

    Article  CAS  PubMed  Google Scholar 

  46. Petersen M, Simmonds MS. Rosmarinic acid. Phytochemistry. 2003;62:121–5.

    Article  CAS  PubMed  Google Scholar 

  47. Qiu Y, Liu Y, Liu L, Peng L. Simultaneous determination of four active ingredients in Siwutang by RP-HPLC. Strait Pharm J. 2018;30:47–9.

    Google Scholar 

  48. Qu G, Yue X, An F, Dai S, Li G, Li B. Chemical constituents contained in Salvia castanea. Zhongguo Zhong yao za zhi Zhongguo zhongyao zazhi. 2012;37:1985–9.

    CAS  PubMed  Google Scholar 

  49. Ryu SY, Lee CO, Choi SU. In vitro cytotoxicity of tanshinones from Salvia miltiorrhiza. Planta Med. 1997;63:339–42.

    Article  CAS  PubMed  Google Scholar 

  50. Wang X, Ma Z, Chen Z, Xing Y, Shao S, Wang Y, Lu X, Dong Z, Gao Y. Screening active constituents in Siwutang via TLR5-NF-κB reporter gene. Chinese J Pharm Sci. 2012;28:196–9.

    CAS  Google Scholar 

  51. Wang X, Morris-Natschke SL, Lee KH. New developments in the chemistry and biology of the bioactive constituents of Tanshen. Med Res Rev. 2007;27:133–48.

    Article  PubMed  CAS  Google Scholar 

  52. Wang Z, Zhao Y, Pang X, Yu H, Kang L, Gao Y, Ma B. Rapid analysis of chemical constituents in Siwutang by UPLC-Q-TOF-MSE. Chinese J Tradition Chinese Med. 2013;38:3702–2708.

    CAS  Google Scholar 

  53. Wei X, Lin X, Zhao H, Li X, Liu H. Box - Behnken design - effect surface method optimized Siwu soup active ingredient extraction process. Qiannan Natl Med Spec Rep. 2017;4:235–41.

    Google Scholar 

  54. Xu W, Lian H, Liang Q, Ma Z, Wang Y, Tang X, Tan H, Xiao C, Gao Y. Computer-aided UPLC-TOF-MS technology is fast analysis of the effect of total decoction on the chemical constituents of Siwutang. Sci Technol Eng. 2014;14:149–154,175.

    Google Scholar 

  55. Xuezhao L, Houwei L, Masatake N. Trijuganone a and B: two new Phenanthrenequinones from Rhizoma of Salvia trijuga. Planta Med. 1990;56:87–8.

    Article  CAS  PubMed  Google Scholar 

  56. Yagi A, Fujimoto K, Niwa T, Tanonaka K, Takeo S. Effect of abietane- type pigments from Salvia miltiorrhiza on post-hypoxic recovery of cardiac contractile force in rats. Planta Med. 1991;57:288–9.

    Article  CAS  PubMed  Google Scholar 

  57. Yang M, Liu A, Guan S, Sun J, Xu M, Guo D. Characterization of tanshinones in the rhizoma of Salvia miltiorrhiza (Dan-shen) by high-performance liquid chromatography with electrospray ionization tandem mass spectrometry. Rapid Comm Mass Spectrometry. 2006;20:1266–80.

    Article  CAS  Google Scholar 

  58. Yokozawa T, Chung HY, Oura H, Nonaka G, Nishioka I. Isolation of a renal function-facilitating constituent from the oriental drug, salviae miltiorrhizae radix. Nihon Jinzo Gakkai shi. 1989;31:1091–8.

    CAS  PubMed  Google Scholar 

  59. Zeng H, Su S, Xiang X, Sha X, Zhu Z, Wang Y, Guo S, Yan H, Qian D, Duan J. Comparative analysis of the major chemical constituents in Salvia miltiorrhizas, stems, leaves and flowers during different growth periods by UPLC-TQ-MS/MS and HPLC-ELSD methods. Molecules. 2017;22:5–6.

    Article  CAS  Google Scholar 

  60. Zeng L, Liu H, Yang K, Zhang G. Correlation analysis of active ingredients in Siwutang. Chinese Tradition Patent Med. 2017;39:576–82.

    Google Scholar 

  61. Zhang HJ, Li LN. Salvianolic Acid I: A new Depside from Salvia cavaleriei. Planta Med. 1994;60:70–2.

    Article  CAS  PubMed  Google Scholar 

  62. Zhao Q, Song Z, Fang X, Pan Y, Guo L, Liu T, Wang J. Effect of genotype and environment on Salvia miltiorrhizas using LC/MS-based metabolomics. Molecules. 2016;21:414–5.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  63. Zhou L, Zuo Z, Chow MS. Danshen: an overview of its chemistry, pharmacology, pharmacokinetics, and clinical use. J Clin Pharmacol. 2005;45:1345–59.

    Article  CAS  PubMed  Google Scholar 

  64. Zhu M, Duan J, Liu P, Su S, Tang Y. Simultaneous determination of major compounds in Siwu decoction and its component parts by HPLC/DAD. Chinese J Tradition Chinese Med. 2013;28:2385–9.

    CAS  Google Scholar 

  65. Zhu Z, Zhang H, Zhao L, Dong X, Li X, Chai Y, Zhang G. Rapid separation and identification of phenolic and diterpenoid constituents from Radix Salvia miltiorrhizae by high-performance liquid chromatography diode-array detection, electrospray ionization time-of-flight mass spectrometry and electrospray ionization quadrupole ion trap mass spectrometry. Rapid Commun Mass Spectrom. 2007;21:1855–65.

    Article  CAS  PubMed  Google Scholar 

  66. Gerhard W, Thierry L. LigandScout: 3-D pharmacophores derived from protein-bound ligand and their use virtual screening filter. J Chem Inf Model. 2005;45:160–9.

    Article  CAS  Google Scholar 

  67. Stanton DT, Jurs PC. Development and use of charge partial surface area structural descriptors in computer-assisted quantitative structure-property relationship studies. Anal Chem. 1990;62:2323–9.

    Article  CAS  Google Scholar 

  68. Hill TL. Introduction to statistical thermodynamics. Reading: Addison-Wesley; 1960.

    Google Scholar 

  69. Rohrbaugh RH, Jurs PC. Descriptions of Molecular Shape Applied in Studies of Structure/Activity and Structure/Property Relationships. Analyt Chim Acta. 1987;199:99–109.

    Article  CAS  Google Scholar 

  70. Lagorce D, Bouslama L, Becot J, Miteva MA, Villoutreix BO. FAF-Drugs4: free ADME-tox filtering computations for chemical biology and early stages drug discovery. Bioinformatics. 2017;33:3658–60.

    Article  CAS  PubMed  Google Scholar 

  71. Koutsoukas A, Lowe R, Kalantarmotamedi Y, Mussa HY, Klaffke W, Mitchell JB, Glen RC, Bender A. In silico target predictions: defining a benchmarking data set and comparison of performance of the multiclass naive Bayes and Parzen-Rosenblatt window. J Chem Inf Model. 2013;53:1957–66.

    Article  CAS  PubMed  Google Scholar 

  72. Mervin LH, Afzal AM, Drakakis G, Lewis R, Engkvist O, Bender A. Target prediction utilising negative bioactivity data covering large chemical space. J Cheminform. 2015;7:51–2.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  73. Papadatos G, Gaulton A, Hersey A, Overington JP. Activity, assay and target data curation and quality in the ChEMBL database. J Comput Aided Mol Des. 2015;29:885–96.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  74. Kim S, Thiessen PA, Bolton EE, Chen J, Fu G, Gindulyte A, Han L, He J, He S, Shoemaker BA, et al. PubChem substance and compound databases. Nucleic Acids Res. 2016;44:D1202–13.

    Article  CAS  Google Scholar 

  75. Geer LY, Marchler-Bauer A, Geer RC, Han L, He J, He S, Liu C, Shi W, Bryant SH. The NCBI BioSystems database. Nucleic Acids Res. 2010;38:D492–6.

    Article  CAS  PubMed  Google Scholar 

  76. Praveen Rao PN, Chen QH, Knaus EE. Synthesis and structure-activity relationship studies of 1,3-diarylprop-2-yn-1-ones: dual inhibitors of cyclooxygenases and Lipoxygenases. J Med Chem. 2006;49:1668–83.

    Article  CAS  Google Scholar 

  77. Mylari BL, Larson ER, Beyer TA, Zembrowski WJ, Aldinger CE, Dee MF, Siegel TW, Singleton DH. Novel, Potent Aldose Reductase Inhibitors: 3,4-dihydro-4-oxo-3-[[5-(trifluoromethyl)-2-benzothiazolyl] methyl]-1-phthalazineacetic Acid (Zopolrestat) and Congeners. J Med Chem. 1991;34:108–22.

    Article  CAS  PubMed  Google Scholar 

  78. Shepard KL, Graham SL, Hudcosky RJ, Michelson SR, Scholz TH, Schwam H, Smith AM, Sondey JM, Strohmaier KM, Smith RL. Topically active carbonic anhydrase inhibitors. 4. [(Hydroxyalkyl)sulfonyl] benzene and [(Hydroxyalkyl)sulfonyl]thiophenesulfonamides. J Med Chem. 1991;34:3098–105.

    Article  CAS  PubMed  Google Scholar 

  79. Pfahl M. Specific binding of the glucocorticoid-receptor complex to the mouse mammary tumor proviral promoter region. Cell. 1982;31:475–82.

    Article  CAS  PubMed  Google Scholar 

  80. Wang Z, Castano IB, De Las PA, Adams C, Christman MF. Pol kappa: a DNA polymerase required for sister chromatid cohesion. Science. 2000;289:774–9.

    Article  CAS  PubMed  Google Scholar 

  81. Perego P, Cossa G, Tinelli S, Corna E, Carenini N, Gatti L, De Cesare M, Ciusani E, Zunino F, Luison E, et al. Role of tyrosyl-DNA phosphodiesterase 1 and inter-players in regulation of tumor cell sensitivity to topoisomerase I inhibition. Biochem Pharmacol. 2012;83:27–36.

    Article  CAS  PubMed  Google Scholar 

  82. Kim SY, Hong M, Heo SH, Park S, Kwon TK, Sung YH, Oh Y, Lee S, Yi GS, Kim I. Inhibition of euchromatin histone-lysine N-methyltransferase 2 sensitizes breast cancer cells to tumor necrosis factor-related apoptosis-inducing ligand through reactive oxygen species-mediated activating transcription factor 4-C/EBP homologous protein-death receptor 5 pathway activation. Mol Carcinog. 2018;57:1492–506.

    Article  CAS  PubMed  Google Scholar 

  83. Zinser GM, Sundberg JP, Welsh J. Vitamin D (3) receptor ablation sensitizes skin to chemically induced tumorigenesis. Carcinogenesis. 2002;23:2103–9.

    Article  CAS  PubMed  Google Scholar 

  84. Kuntz AN, Davioud-Charvet E, Sayed AA, Califf LL, Dessolin J, Arner ES, Williams DL. Thioredoxin glutathione reductase from Schistosoma mansoni: an essential parasite enzyme and a key drug target. PLoS Med. 2007;4:e206.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  85. Innocenti A, Villar R, Martinez-Merino V, Gil MJ, Scozzafava A, Vullo D, Supuran CT. Carbonic anhydrase inhibitors: inhibition of cytosolic/tumor-associated carbonic anhydrase isozymes I, II, and IX with benzo [b] thiophene 1,1-dioxide sulfonamides. Bioorg Med Chem Lett. 2005;15:4872–6.

    Article  CAS  PubMed  Google Scholar 

  86. Weiner DM, Goodman MW, Colpitts TM, Feddock MA, Duggento KL, Nash NR, Levey AI, Brann MR. Functional screening of drug target genes: m1 muscarinic acetylcholine receptor phenotypes in degenerative dementias. Am J Pharm. 2004;4:119–28.

    CAS  Google Scholar 

  87. Li X, Xu X, Wang J, Yu H, Wang X, Yang H, Xu H, Tang S, Li Y, Yang L, et al. A system-level investigation into the mechanisms of Chinese traditional medicine: compound Danshen formula for cardiovascular disease treatment. PLoS One. 2012;7:e43918.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  88. Boado RJ, Pardridge WM, Vinters HV, Black KL. Differential expression of arachidonate 5-lipoxygenase transcripts in human brain tumors: evidence for the expression of a multitranscript family. Proc Natl Acad Sci U S A. 1992;89:9044–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  89. Nakopoulou L, Lazaris AC, Kavantzas N, Alexandrou P, Athanassiadou P, Keramopoulos A, Davaris P. DNA topoisomerase II-alpha immunoreactivity as a marker of tumor aggressiveness in invasive breast cancer. Pathobiology. 2000;68:137–43.

    Article  CAS  PubMed  Google Scholar 

  90. Knox SJ, Sutherland W, Goris ML. Correlation of tumor sensitivity to low-dose-rate irradiation with G2/M-phase block and other radiobiological parameters. Radiat Res. 1993;135:24–31.

    Article  CAS  PubMed  Google Scholar 

  91. Chiu TK, Davies DR. Structure and function of HIV-1 integrase. Curr Top Med Chem. 2004;4:965–77.

    Article  CAS  PubMed  Google Scholar 

  92. Torma H, Karlsson T, Michaelsson G, Rollman O, Vahlquist A. Decreased mRNA levels of retinoic acid receptor alpha, retinoid X receptor alpha and thyroid hormone receptor alpha in lesional psoriatic skin. Acta Derm Venereol. 2000;80:4–9.

    Article  CAS  PubMed  Google Scholar 

  93. Setsuie R, Wada K. The functions of UCH-L1 and its relation to neurodegenerative diseases. Neurochem Int. 2007;51:105–11.

    Article  CAS  PubMed  Google Scholar 

  94. Lipinski CA. Lead- and drug-like compounds: the rule-of-five revolution. Drug Discov Today Technol. 2004;1:337–41.

    Article  CAS  PubMed  Google Scholar 

  95. Veber DF, Johnson SR, Cheng HY, Smith BR, Ward KW, Kopple KD. Molecular properties that influence the oral bioavailability of drug candidates. J Med Chem. 2002;45:2615–23.

    Article  CAS  PubMed  Google Scholar 

  96. Egan WJ, Merz KM Jr, Baldwin JJ. Prediction of drug absorption using multivariate statistics. J Med Chem. 2000;43:3867–77.

    Article  CAS  PubMed  Google Scholar 

  97. Hill AP, Young RJ. Getting physical in drug discovery: a contemporary perspective on solubility and hydrophobicity. Drug Discov Today. 2010;15:648–55.

    Article  CAS  PubMed  Google Scholar 

  98. Gleeson MP. Generation of a set of simple, interpretable ADMET rules of thumb. J Med Chem. 2008;51:817–34.

    Article  CAS  PubMed  Google Scholar 

  99. Stepan AF, Walker DP, Bauman J, Price DA, Baillie TA, Kalgutkar AS, Aleo MD. Structural alert/reactive metabolite concept as applied in medicinal chemistry to mitigate the risk of idiosyncratic drug toxicity: a perspective based on the critical examination of trends in the top 200 drugs marketed in the United States. Chem Res Toxicol. 2011;24:1345–410.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

The authors thank the Natural Science Foundation of China (NSFC) for their financial support. The authors would like to express Professor Aixia Yan, who provided valuable advice.

Funding

This work was supported by the National Key Research and Development Program of China (2017YFC1702703), the National Natural Science Foundation of China (81473369), and the Key R & D programs in Shandong (2016CYJS08A01–1), Shandong Taishan Scholar Climbing Project. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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YL dedicated a substantial contribution to the conception and design of the project and analysis and interpretation of the data and wrote this manuscript. LQ and CC contributed in data preparation. XF conceived the main theme on which the work is performed and ensured that the scientific aspect of the study is rationally valid. ZW ensured that the scientific aspect of the studywas rationally valid. All authors have read and approved the final manuscript.

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Correspondence to Xianjun Fu.

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Supplementary Information

Additional file 1: Table S1.

The compounds and the proven targets.

Additional file 2:

The molecular structure of 129 compounds of Danshen components used in this study.

Additional file 3:

The molecular structure of 81 compounds of Siwu decoction components.

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Li, Y., Qiao, L., Chen, C. et al. Comparative study of Danshen and Siwu decoction based on the molecular structures of the components and predicted targets. BMC Complement Med Ther 21, 42 (2021). https://doi.org/10.1186/s12906-021-03209-1

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