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迈向化学空间的系统探索:构建分子性质诊断套件中的片段库模块。

Towards systematic exploration of chemical space: building the fragment library module in molecular property diagnostic suite.

机构信息

Advanced Computation and Data Sciences Division, CSIR -North East Institute of Science and Technology, Jorhat, 785006, India.

Centre for Molecular Modeling, CSIR-Indian Institute of Chemical Technology, Hyderabad, 500007, India.

出版信息

Mol Divers. 2023 Jun;27(3):1459-1468. doi: 10.1007/s11030-022-10506-5. Epub 2022 Aug 4.

Abstract

A fragment-based drug discovery (FBDD) approach has traditionally been of utmost significance in drug design studies. It allows the exploration of large chemical space to find novel scaffolds and chemotypes which can be improved into selective inhibitors with good affinity. In the current work, several public domain chemical libraries (ChEMBL, DrugCentral, PDB ligands, COCONUT, and SAVI) comprising bioactive and virtual molecules were retrieved to develop a fragment library. A systematic fragmentation method that breaks a given molecule into rings, linkers, and substituents was used to cleave the molecules and the fragments were analyzed. Further, only the ring framework was taken into the consideration to develop a fragment library that consists of a total number of 107,614 unique fragments. This set represents a rich diverse structure framework that covers a wide variety of yet-to-be-explored fragments for a wide range of small molecule-based applications. This fragment library is an integral part of the molecular property diagnostic suite (MPDS) suite that can be used with other modeling and informatics methods for FBDD approaches. The fragment library module of MPDS can be accessed at http://mpds.neist.res.in:8085 .

摘要

基于片段的药物发现(FBDD)方法在药物设计研究中一直具有极其重要的意义。它允许探索大型化学空间,以找到新颖的支架和化学型,可以改进为具有良好亲和力的选择性抑制剂。在当前的工作中,检索了几个公共领域的化学文库(ChEMBL、DrugCentral、PDB 配体、COCONUT 和 SAVI),其中包含生物活性和虚拟分子,以开发一个片段库。使用一种系统的片段化方法将给定的分子分解为环、连接子和取代基,以裂解分子,并对碎片进行分析。此外,仅考虑环骨架,以开发一个由 107614 个独特片段组成的片段库。这个集合代表了一个丰富多样的结构框架,涵盖了广泛的、尚未探索的各种小分子应用的片段。这个片段库是分子性质诊断套件(MPDS)套件的一个组成部分,可以与其他建模和信息学方法一起用于 FBDD 方法。MPDS 的片段库模块可以在 http://mpds.neist.res.in:8085 访问。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0144/9362107/193c2a9c0788/11030_2022_10506_Sch1_HTML.jpg

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