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Comparative analyses of structural features and scaffold diversity for purchasable compound libraries.
Shang, Jun; Sun, Huiyong; Liu, Hui; Chen, Fu; Tian, Sheng; Pan, Peichen; Li, Dan; Kong, Dexin; Hou, Tingjun.
Afiliação
  • Shang J; State Key Laboratory of Agricultural Microbiology and Agricultural Bioinformatics Key Laboratory of Hubei Province, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
  • Sun H; College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, Zhejiang, China.
  • Liu H; College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, Zhejiang, China.
  • Chen F; College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, Zhejiang, China.
  • Tian S; College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, Zhejiang, China.
  • Pan P; College of Pharmaceutical Sciences, Soochow University, Suzhou, 215021, Jiangsu, China.
  • Li D; College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, Zhejiang, China.
  • Kong D; College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, Zhejiang, China.
  • Hou T; State Key Laboratory of Agricultural Microbiology and Agricultural Bioinformatics Key Laboratory of Hubei Province, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, Hubei, China. dxkong@mail.hzau.edu.cn.
J Cheminform ; 9(1): 25, 2017 Apr 21.
Article em En | MEDLINE | ID: mdl-29086044
ABSTRACT
Large purchasable screening libraries of small molecules afforded by commercial vendors are indispensable sources for virtual screening (VS). Selecting an optimal screening library for a specific VS campaign is quite important to improve the success rates and avoid wasting resources in later experimental phases. Analysis of the structural features and molecular diversity for different screening libraries can provide valuable information to the decision making process when selecting screening libraries for VS. In this study, the structural features and scaffold diversity of eleven purchasable screening libraries and Traditional Chinese Medicine Compound Database (TCMCD) were analyzed and compared. Their scaffold diversity represented by the Murcko frameworks and Level 1 scaffolds was characterized by the scaffold counts and cumulative scaffold frequency plots, and visualized by Tree Maps and SAR Maps. The analysis demonstrates that, based on the standardized subsets with similar molecular weight distributions, Chembridge, ChemicalBlock, Mucle, TCMCD and VitasM are more structurally diverse than the others. Compared with all purchasable screening libraries, TCMCD has the highest structural complexity indeed but more conservative molecular scaffolds. Moreover, we found that some representative scaffolds were important components of drug candidates against different drug targets, such as kinases and guanosine-binding protein coupled receptors, and therefore the molecules containing pharmacologically important scaffolds found in screening libraries might be potential inhibitors against the relevant targets. This study may provide valuable perspective on which purchasable compound libraries are better for you to screen. Graphical abstract Selecting diverse compound libraries with scaffold analyses.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article