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可购买化合物库的结构特征与支架多样性的比较分析。

Comparative analyses of structural features and scaffold diversity for purchasable compound libraries.

作者信息

Shang Jun, Sun Huiyong, Liu Hui, Chen Fu, Tian Sheng, Pan Peichen, Li Dan, Kong Dexin, Hou Tingjun

机构信息

State Key Laboratory of Agricultural Microbiology and Agricultural Bioinformatics Key Laboratory of Hubei Province, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.

College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, Zhejiang, China.

出版信息

J Cheminform. 2017 Apr 21;9(1):25. doi: 10.1186/s13321-017-0212-4.

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.

摘要

商业供应商提供的可购买的小分子筛选文库是虚拟筛选(VS)不可或缺的来源。为特定的虚拟筛选活动选择最佳筛选文库对于提高成功率和避免在后期实验阶段浪费资源非常重要。分析不同筛选文库的结构特征和分子多样性可为虚拟筛选选择筛选文库时的决策过程提供有价值的信息。在本研究中,对11个可购买的筛选文库和中药复方数据库(TCMCD)的结构特征和骨架多样性进行了分析和比较。它们以Murcko骨架和一级骨架表示的骨架多样性通过骨架计数和累积骨架频率图进行表征,并通过树形图和SAR图进行可视化。分析表明,基于具有相似分子量分布的标准化子集,Chembridge、ChemicalBlock、Mucle、TCMCD和VitasM在结构上比其他文库更加多样。与所有可购买的筛选文库相比,TCMCD确实具有最高的结构复杂性,但分子骨架更为保守。此外,我们发现一些代表性骨架是针对不同药物靶点(如激酶和鸟苷结合蛋白偶联受体)的候选药物的重要组成部分,因此在筛选文库中发现的含有药理学重要骨架的分子可能是针对相关靶点的潜在抑制剂。这项研究可能为哪种可购买的化合物文库更适合您进行筛选提供有价值的观点。图形摘要 通过骨架分析选择多样的化合物文库。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc60/5400773/69bd80a83742/13321_2017_212_Figa_HTML.jpg

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