Dr. Yonghua Wang
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Dr. Yonghua Wang

Professor
Northwest A&F University, China

Highest Degree
Ph.D. in Biological Engineering from Chinese Academy of Sciences, China

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Area of Interest:

Pharmacology and Toxicology
100%
Cardiovascular Disease
62%
Ethnopharmacology
90%
Chinese Medicine
75%
Bioinformatics
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
0
Abstracts
0

Selected Publications

  1. Yang, Y., Y. Li , J. Wang, K. Sun and W. Tao et al., 2017. Systematic investigation of Ginkgo biloba leaves for treating cardio-cerebrovascular diseases in an animal model. ACS Chem. Biol., 12: 1363-1372.
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  2. Wang, J., Z. Guo, Y. Fu, Z. Wu and C. Huang et al., 2017. Weak-binding molecules are not drugs?-toward a systematic strategy for finding effective weak-binding drugs. Brief Bioinform., 18: 321-332.
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  3. Zheng, J., B. Liu, Q. Lun, W. Yao and Y. Zhao et al., 2016. Longxuetongluo capsule improves erythrocyte function against lipid peroxidation and abnormal hemorheological parameters in high fat diet-induced apoe−/− mice. Oxidative Med. Cell. Longevity, 2016: 1-11.
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  4. Zheng, C., T. Pei, C. Huang, X. Chen and Y. Bai et al., 2016. A novel systems pharmacology platform to dissect action mechanisms of traditional Chinese medicines for bovine viral diarrhea disease. Eur. J. Pharm. Sci., 94: 33-45.
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  5. Zhang, W., Y. Bai, Y. Wang and W. Xiao, 2016. Polypharmacology in drug discovery: A review from systems pharmacology perspective. Curr. Pharm. Design, 22: 3171-3181.
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  6. Zhang, B.,Y. Fu, C. Huang, C. Zheng and Z. Wu et al., 2016. New strategy for drug discovery by large-scale association analysis of molecular networks of different species. Sci Rep., 10.1038/srep21872.
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  7. Zhang W., Q. Tao, Z. Guo, Y. Fu and X. Chen et al., 2016. Systems pharmacology dissection of the integrated treatment for cardiovascular and gastrointestinal disorders by traditional Chinese medicine. Sci. Rep., Vol. 6. 10.1038/srep32400.
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  8. Wang, J., Y. Yang, Y. Li and Y. Wang, 2016. Computational study exploring the interaction mechanism of benzimidazole derivatives as potent cattle bovine viral diarrhea virus inhibitors. J. Agric. Food Chem., 64: 5941-5950.
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  9. Shar, P.A., W. Tao, S. Gao, C. Huang and B. Li et al., 2016. Pred-binding: Large-scale protein-ligand binding affinity prediction. J. Enzyme Inhib. Med. Chem., 31: 1443-1450.
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  10. Pei, T., C. Zheng, C. Huang, X. Chen and Z. Guo et al., 2016. Systematic understanding the mechanisms of vitiligo pathogenesis and its treatment by Qubaibabuqi formula. J. Ethnopharmacol., 190: 272-287.
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  11. Liu, J.,T. Pei, J. Mu, C. Zheng and X. Chen et al., 2016. Systems pharmacology uncovers the multiple mechanisms of xijiao dihuang decoction for the treatment of viral hemorrhagic fever. Evidence-Based Complementary Altern. Med., 2016: 1-17.
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  12. Liu, J., J. Mu, C. Zheng, X. Chen and Z. Guo et al., 2016. Systems-pharmacology dissection of traditional Chinese medicine compound saffron formula reveals multi-scale treatment strategy for cardiovascular diseases. Scient. Rep., Vol. 6. 10.1038/srep19809.
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  13. Zheng, C., Z. Guo, C. Huang, Z. Wu and Y. Li et al., 2015. Large-scale direct targeting for drug repositioning and discovery. Sci. Rep., 10.1038/srep11970.
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  14. Zhang, J., Y. Li, S.S.Chen, L. Zhang and J. Wang et al., 2015. Systems pharmacology dissection of the anti-inflammatory mechanism for the medicinal herb Folium eriobotryae. Int. J. Mol. Sci., 16: 2913-2941.
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  15. Wang, Y., Z. Guo, X. Chen, W. Zhang, A. Lub and Y. Wang, 2015. Multi-scale modeling of cell survival and death mediated by the p53 network: a systems pharmacology framework. Mol. Bio. Syst., 11: 3011-3021.
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  16. Wang, Y., C. Zheng, C. Huang, Y. Li and X. Chen et al., 2015. Systems pharmacology dissecting holistic medicine for treatment of complex diseases: an example using cardiocerebrovascular diseases treated by TCM. Evid Based Complement Alternat. Med., 10.1155/2015/980190.
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  17. Tao, W., B. Li, S. Gao, Y. Bai and P.A. Shar et al., 2015. CancerHSP: Anticancer herbs database of systems pharmacology. Sci Rep., 10.1038/srep11481.
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  18. Liu, J. K.Sun, C. Zheng, X. Chen and W. Zhang et al., 2015. Pathway as a pharmacological target for herbal medicines: An investigation from reduning injection. PLoS One, 10.1371/journal.pone.0123109.
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  19. Li, Y., J. Wang, Y. Xiao, Y. Wang and S. Chen et al., 2015. A systems pharmacology approach to investigate the mechanisms of action of Semen Strychni and Tripterygium wilfordii Hook F for treatment of rheumatoid arthritis. J. Ethnopharmacol., 175: 301-314.
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  20. Li, Y., J. Zhang, L. Zhang, X. Chen and Y. Pan et al., 2015. Systems pharmacology to decipher the combinational anti-migraine effects of Tianshu formula. J. Ethnopharmacol., 174: 45-56.
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  21. Li, P., Y. Fu and Y. Wang, 2015. Network based approach to drug discovery: A mini review. Mini Rev. Med. Chem., 15: 687-695.
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  22. Li, P., C. Huang, Y. Fu, J.Wang and Z. Wu et al., 2015. Large-scale exploration and analysis of drug combinations. Bioinformatics, 31: 2007-2016.
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  23. Li, J., P. Zhao, Y. Li, Y. Tian and Y. Wang, 2015. Systems pharmacology-based dissection of mechanisms of Chinese medicinal formula Bufei Yishen as an effective treatment for chronic obstructive pulmonary disease. Sci Rep., 10.1038/srep15290.
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  24. Zhou,W. and Y. Wang, 2014. A network-based analysis of the types of coronary artery disease from traditional Chinese medicine perspective: Potential for therapeutics and drug discovery. J. Ethnopharmacol., 151: 66-77.
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  25. Zheng, C., J. Wang, J. Liu, M. Pei, C. Huang and Y. Wang, 2014. System-level multi-target drug discovery from natural products with applications to cardiovascular diseases. Mol. Divers, 18: 621-635.
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  26. Zhang, L.,T. Liu, X. Wang, J. Wang and G. Li et al., 2014. Insight into the binding mode and the structural features of the pyrimidine derivatives as human A2A adenosine receptor antagonists. Biosystems, 115: 13-22.
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  27. Zhang, J. Y. Li, X. Chen, Y. Pan, S. Zhang and Y. Wang, 2014. Systems pharmacology dissection of multi-scale mechanisms of action for herbal medicines in stroke treatment and prevention. PLoS One, 10.1371/journal.pone.0102506.
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  28. Yang, H., W. Zhang, C. Huang, W. Zhou and Y. Yao et al., 2014. A novel systems pharmacology model for herbal medicine injection: A case using Reduning injection. BMC Complement Altern/ Med., 10.1186/1472-6882-14-430.
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  29. Wang, X., Y. Wang, L. Zheng and J. Chen, 2014. Molecular dynamics simulation in RNA interference. Curr. Med. Chem., 21: 1968-1975.
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  30. Ru, J., P. Li, J. Wang, W. Zhou and B. Li et al., 2014. TCMSP: A database of systems pharmacology for drug discovery from herbal medicines. J. Cheminf., Vol. 6. 10.1186/1758-2946-6-13.
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  31. Liu, J., C. Zheng and Y. Wang, 2014. Perspective: Systems pharmacology strategy for investigation of antioxidant drugs and its mechanisms of action. J. Bioequiv., 10.4172/jbb.10000e50.
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  32. Li, P., Y. Fu, J. Ru, C. Huang and J. Du et al., 2014. Insights from systems pharmacology into cardiovascular drug discovery and therapy. BMC Syst. Biol., Vol. 8. 10.1186/s12918-014-0141-z.
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  33. Li, P., J. Chen, J. Wang, W. Zhou, X. Wang, B. Li and L. Yang, 2014. Systems pharmacology strategies for drug discovery and combination with applications to cardiovascular diseases. J. ethnopharmacol., 15: 193-207.
  34. Li, B., W.Tao, C. Zheng, P.A. Shar, C. Huang, Y. Fu and Y. Wang, 2014. Systems pharmacology-based approach for dissecting the addition and subtraction theory of traditional Chinese medicine: An example using Xiao-Chaihu-Decoction and Da-Chaihu-Decoction. Comput. Biol. Med., 53: 19-29.
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  35. Huang, C., C. Zheng, Y. Li, Y. Wang, A. Lu and L. Yang, 2014. Systems pharmacology in drug discovery and therapeutic insight for herbal medicines. Brief Bioinform., 15: 710-733.
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  36. Han, J., D. Wang, B. Yu, Y. Wang and H. Ren et al., 2014. Cardioprotection against Ischemia/reperfusion by licochalcone b in isolated rat hearts. Oxidative Med. Cell. Longevity, 2014: 1-11.
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  37. Fu, Y., Y. Wang and B. Zhang, 2014. Systems pharmacology for traditional Chinese medicine with application to cardio-cerebrovascular diseases. J. Trad. Chinese Med. Sci., 1: 84-91.
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  38. Zhou, W., C. Huang, Y. Li, J. Duan and Y. Wang et al., 2013. A systematic identification of multiple toxin-target interactions based on chemical, genomic and toxicological data. Toxicology, 304: 173-184.
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  39. Zheng, C. and Y. Wang, 2013. Prediction of oral bioavailability: Challenges and strategies. J. Phar. M Pharmacol., 10.4172/jbb.10000e47.
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  40. Yao, Y., X. Zhang, Z. Wang, C. Zheng and P. Li et al., 2013. Deciphering the combination principles of Traditional Chinese Medicine from a systems pharmacology perspective based on Ma-huang Decoction. J. Ethnopharmacol., 150: 619-638.
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  41. Wang, X., X. Xu, Y. Li, X. Li and W. Tao et al., 2013. Systems pharmacology uncovers Janus functions of botanical drugs: activation of host defense system and inhibition of influenza virus replication. Integr. Biol., 5: 351-371.
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  42. Tao, W., X. Xu, X. Wang, B. Li, Y. Wang, Y. Li and L. Yang, 2013. Network pharmacology-based prediction of the active ingredients and potential targets of Chinese herbal Radix Curcumae formula for application to cardiovascular disease. J. Ethnopharmacol., 143: 1-10.
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  43. Liu, J., M. Pei, C. Zheng, Y. Li, Y. Wang, A. Lu and L. Yang, 2013. A systems-pharmacology analysis of herbal medicines used in health improvement treatment: predicting potential new drugs and targets. Evid Based Complement Alternat. Med., 2013: 1-17.
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  44. Liu, H., J. Wang, W. Zhou, Y. Wang and L. Yang, 2013. Systems approaches and polypharmacology for drug discovery from herbal medicines: An example using licorice. J. Ethnopharmacol., 146: 773-793.
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  45. Li, Q., Y. Fang, X. Li, H. Zhang and M. Liu et al., 2013. Mechanism of the plant cytochrome P450 for herbicide resistance: a modelling study. J. Enzyme Inhib. Med. Chem., 28: 1182-1191.
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  46. Zhang, H., Y. Yao, H. Yang, X. Wang and Z. Kang et al., 2012. Molecular dynamics and free energy studies on the carboxypeptidases complexed with peptide/small molecular inhibitor: mechanism for drug resistance. Insect. Biochem. Mol. Biol., 42: 583-595.
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  47. Yu, H., J. Chen, X. Xu, Y. Li and H. Zhao et al., 2012. A systematic prediction of multiple drug-target interactions from chemical, genomic, and pharmacological data. PLoS One, 10.1371/journal.pone.0037608.
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  48. Xu, X., Z. Ma, X. Wang, Z.T. Xiao, Y. Li, Z.H. Xue and Y.H. Wang, 2012. Water's potential role: Insights from studies of the p53 core domain. J. Struct. Biol., 177: 358-366.
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  49. Xu, X., X. Wang, Z. Xiao, Y. Lic and Y. Wang, 2012. Probing the structural and functional link between mutation- and pH-dependent hydration dynamics and amyloidosis of transthyretin. Soft Matter, 8: 324-336.
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  50. Xu, X., X. Wang, Y. Li, Y. Wang and L.Yang, 2012. A large-scale association study for nanoparticle C60 uncovers mechanisms of nanotoxicity disrupting the native conformations of DNA/RNA. Nucleic. Acids Res., 40: 7622-7632.
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  51. Xu, X., W. Zhang, C. Huang, Y. Li and H. Yu et al., 2012. A novel chemometric method for the prediction of human oral bioavailability. Int. J. Mol. Sci., 13: 6964-6982.
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  52. Xu, X., R. Li, M. Ma, X. Wang, Y. Wang and H. Zou, 2012. Multidrug resistance protein P-glycoprotein does not recognize nanoparticle C60: experiment and modeling. Soft Matter, 8: 2915-2923.
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  53. Wang, X., X. Xu, W. Tao, Y. Li, Y. Wang and L. Yang, 2012. A systems biology approach to uncovering pharmacological synergy in herbal medicines with applications to cardiovascular disease. Evidence-Based Complementary Altern. Med., 2012: 1-15.
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  54. Wang, X., X. Xu, M. Ma, W. Zhou, Y. Wang and L. Yang, 2012. pH-dependent channel gating in connexin26 hemichannels involves conformational changes in N-terminus. Biochim. Biophys. Acta, 1818: 1148-1157.
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  55. Wang, X., X. Xu, S. Zhu, Z. Xiao, Z. Ma, Y. Li and Y. Wang, 2012. Molecular dynamics simulation of conformational heterogeneity in transportin 1. Proteins: Struct. Function Bioinf., 80: 382-397.
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  56. Wang, F., Z. Ma, Y. Li, J. Wang and Y. Wang, 2012. Structural requirements of pyrimidine, thienopyridine and ureido thiophene carboxamide-based inhibitors of the checkpoint kinase 1: QSAR, docking, molecular dynamics analysis. J. Mol. Model., 18: 3227-3242.
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  57. Liu, J., M. Liu, Y. Yao, J. Wang, Y. Li, G. Li and Y. Wang, 2012. Identification of novel potential β-n-acetyl-d-hexosaminidase inhibitors by virtual screening, molecular dynamics simulation and mm-pbsa calculations. Int. J. Mol. Sci., 13: 4545-4563.
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  58. Li, X., X. Xu, J. Wang, H. Yu and X. Wang et al., 2012. A system-Level Investigation into the Mechanisms of Chinese Traditional Medicine: Compound danshen formula for cardiovascular disease treatment. PLoS One, 10.1371/journal.pone.0043918.
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  59. Li, B., X. Xu, X. Wang, H. Yu, X. Li, W. Tao, Y. Wang and L. Yang, 2012. A systems biology approach to understanding the mechanisms of action of chinese herbs for treatment of cardiovascular disease. Int. J. Mol. Sci., 13: 13501-13520.
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  60. Zhou, W., Y. Li, X. Wang, L. Wu and Y. Wang, 2011. MiR-206-mediated dynamic mechanism of the mammalian circadian clock. BMC Syst. Biol., 10.1186/1752-0509-5-141.
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  61. Xu, X., X. Wang, Z. Xiao, Y. Li and Y. Wang, 2011. Two TPX2-dependent switches control the activity of aurora A. PLoS One, 10.1371/journal.pone.0016757.
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  62. Xiao, Z., X. Wang, X. Xu, H. Zhang, Y. Li§ and Y. Wang, 2011. Base- and structure-dependent dna dinucleotide–carbon nanotube interactions: molecular dynamics simulations and thermodynamic analysis. J. Phys. Chem. C, 115: 21546-21558.
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  63. Wang, X., X. Xu, Z. Ma, Y. Huo, Z. Xiao, Y. Li and Y. Wang, 2011. Dynamic mechanisms for pre-miRNA binding and export by Exportin-5. RNA, 17: 1511-1528.
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  64. Ma, Z., H.X. Zhang And Y. Wang, 2011. Local and global effects of Mg2+ on ago and miRNA-target interactions. J. Mol. Mode., 18: 3769-3781.
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  65. Xu, X., W. Yang, Y. Li And Y. Wang, 2010. Discovery of estrogen receptor modulators:a reviewof virtual screening and sar efforts. Exp. Opin. Drug Discovery, 5: 21-31.
  66. Wei, S.P., Z.Q. Ji, H.X. Zhang, J.W. Zhang, Y.H. Wang And W.J. Wu, 2010. Isolation, biological evaluation and 3D-QSAR studies of insecticidal/narcotic sesquiterpene polyol esters. J. Mol. Mod., 17: 681-693.
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  67. Wang, Z., Y. Li, C. Ai And Y. Wang, 2010. In Silico prediction of estrogen receptor subtype binding affinity and selectivity using statistical methods and molecular docking with 2-arylnaphthalenes and 2-arylquinolines. Int. J. Mol. Sci., 11: 3434-3458.
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  68. Wang, Y., Y. Li, Z. Ma, W. Yang And C. Ai, 2010. Mechanism of MicroRNA-Target Interaction: Molecular Dynamics Simulations and Thermodynamics Analysis. PLOS. Comput. Biol., 10.1371/journal.pcbi.1000866.
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  69. Wang, X., Y. Li, X. Xu and Y.-H. Wang, 2010. Toward a system-level understanding of microRNA pathway via mathematical modeling. Biosystems, 100: 31-38.
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  70. Wang, X., X. Xu, Y. Li And Y.H. Wang, 2010. Toward a system-level understanding of microRNA pathway via mathematical modeling. BioSystems, 100: 31-38.
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  71. Wang, X., W. Yang, X. Xu, H. Zhang, Y. Li And Y. Wang, 2010. Studies of benzothiadiazine derivatives as hepatitis C virus NS5B polymerase inhibitors using 3D-QSAR, molecular docking and molecular dynamics. Current Med. Chem., 17: 2788-2803.
    PubMed  |  Direct Link  |  
  72. Wang, H., H. Huang, J. Ding And Y. Wang, 2010. Embryotoxicity and teratogenicity of pesticide indoxacarb to sea urchin (Strongylocentrotus intermedius). Water Sci. Technol., 61: 2733-2739.
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  73. Hao, M., Y. Li, Y. Wang And S. Zhang, 2010. Prediction of PKCθ inhibitory activity using the random forest algorithm. Int. J. Mol. Sci., 11: 3413-3433.
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  74. Wang, G., Y. Li, X. Liu And Y. Wang, 2009. Understanding the aquatic toxicity of pesticide: Structure-activity relationship and molecular descriptors to distinguish the ratings of toxicity. QSAR Comb. Sci., 28: 1418-1431.
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  75. Li, Y., Y. Wang, J. Ding, Y. Wang, Y. Chang and S. Zhang, 2009. In silico prediction of androgenic and nonandrogenic compounds using random forest. Mol. Inf., 28: 396-405.
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  76. Li, Y., Y. Wang, J. Ding, Y. Wang, Y. Chang And S. Zhang, 2009. In silico prediction of androgenic and nonandrogenic compounds using random forest. Mol. Inf. Mod. Mol., 28: 396-405.
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  77. Ai, C., Y. Li, Y. Wang, Y. Chen, L. Yang, 2009. Insight into the effects of chiral isomers quinidine and quinine on CYP2D6 inhibition. Bioorg. Med. Let., 19: 803-806.
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  78. Wang, Y., Y. Li, J. Ding, Y. Wang And Y. Chang, 2008. Prediction of binding affinity forestrogen receptorα modulators using statistical learning approaches. Mol. Diversity, 12: 93-102.
  79. Sun, X., Y. Li, X. Liu, J. Ding, Y. Wang, H. Shen and Y. Chang, 2008. Classification of bioaccumulative and non-bioaccumulative chemicals using statistical learning approaches. Mol. Divers, 12: 57-69.
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  80. Sun, X., Y. Li, X. Liu, J. Ding, Y. Wang, H. Shen And Y. Chang, 2008. Classification of bioaccumulative and non-bioaccumulative chemicals using statistical learning approaches. Mol. Diversity, 12: 157-169.
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  81. Li, Y., J. Ding, Z. Jiang And Y. Chang, 2008. Estimation of bioconcentration factors using molecular electro-topological state and flexibility. SAR QSAR Environ. Res., 19: 375-395.
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  82. Ai, C., Y. Wang, Y. Li, Y. Li And L. Yang, 2008. A 3-D QSAR Study of Catechol-O-methyltransferase inhibitors using comfa and CoMSIA. Mol. Inf. Mod. Mol., 27: 1183-1192.
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  83. Wang, Y., Y. Li and B. Wang, 2007. Stochastic simulations of the cytochrome P450 catalytic cycle. J. Phys. Chem. B, 111: 4251-4260.
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  84. Wang, Y., Y. Li And B. Wang, 2007. Stochastic Simulations of the Cytochrome P450 Catalytic Cycle. J. phy. Chem. B., 111: :4251-4260.
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  85. Wang, Y., Y. Li And B. Wang, 2007. An in silico method for screening nicotine derivatives as cytochrome p450 2a6 selective inhibitors based on kernel partial least squares. Int. J. Mol. Sci., 8: 166-179.
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  86. Wang, Y., Y. Li, Y. Li, X. Ma, S. Yang and L. Yang, 2006. Investigations into the analysis and modeling of the cytochrome P450 cycle. J. Phys. Chem. B, 110: 10139-10143.
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  87. Wang, Y., H. Wang, Y. Wang, C. Yang, L. Yang And K. Han, 2006. Theoretical study of the mechanism of acetaldehyde hydroxylation by compound i of cyp2e1. J. Phys. Chem. B., 110: 6154-6159.
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  88. Li, Y., Y. Wang, Y. Ling, S. Zhang And C. Liu, 2006. Impact of molecular hydrophobic field onpassive diffusion, p-glycoprotein active efflux, and p-glycoprotein modulationof steroids. Int. Electron. J. Mol. Des., 5: 60-78.
  89. Li, Y., Y. Wang, Y. Li And L. Yang, 2006. prediction of the deleterious nssnp in abcbtransporters. FEBS. Lett., 580: 6800-6806.
  90. Li, Y., Y. Wang, Y. LI And L. Yang, 2006. MDR1 Gene Pharmacogenetics and the Clinical Relevance. Yi Chuan Xue. Bao., 33: 93-104.
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  91. Li, Y., Y. Wang, L. Yang, S. Zhang And C. Liu, 2006. Structural determinants of flavones interactingwith the c-terminal nucleotide-binding domain as p-glycoprotein inhibitors. Int. Electron. J. Mol. Des., 5: 1-12.
  92. Li, Y., Y. Wang, J. Sun, Y. Li And L. Yang, 2006. Distribution of the functional mdr1c3435tpolymorphism in the han population of china. Swiss Med. Weekly., 136: 377-382.
  93. Wang, Y.H., Y. Li, Y.H. Li, S.L. Yang And L. Yang, 2005. Modeling K(M) values using electrotopological state: Substrates for cytochrome P450 3A4-mediated metabolism. Bioorg. Med. Chem. Lett., 15: 4076-4084.
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  94. Wang, Y.H., Y. Li, S.L. Yang and L. Yang, 2005. Classification of substrates and inhibitors of P-glycoprotein using unsupervised machine learning approach. J. Chem. Inf. Model., 45: 750-757.
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  95. Wang, Y.H., Y. Li, S. Yang And L. Yang, 2005. An in silico approach for screening flavonoids as P-glycoprotein inhibitors based on a Bayesian-regularized neural network. J. Comput. Aided. Mol. Des., 19: 137-147.
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  96. Li, Y., Y. Wang, L. Yang, S. Zhang, C. Liu And S. Yang, 2005. Comparison of steroid substrates and inhibitors of P-glycoprotein by 3D-QSAR analysis..J. Mol. Struct., 733: 111-118.
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  97. Wang, Y., K.L. Han, S.L. Yang And L. Yang, 2004. Structural determinants of steroids for cytochrome P450 3A4-mediated metabolism. J. Mol. Struct. THEOCHEM, 710: 215-221.
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