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组合化学与从头设计之间的协同作用。

Synergy between combinatorial chemistry and de novo design.

作者信息

Leach A R, Bryce R A, Robinson A J

机构信息

Glaxo Wellcome Medicines Research Centre, Gunnels Wood Road, Stevenage, Hertfordshire SG1 2NY, United Kingdom.

出版信息

J Mol Graph Model. 2000 Aug-Oct;18(4-5):358-67, 526. doi: 10.1016/s1093-3263(00)00062-0.

Abstract

Traditional de novo design algorithms are able to generate many thousands of ligand structures that meet the constraints of a protein structure, but these structures are often not synthetically tractable. In this article, we describe how concepts from structure-based de novo design can be used to explore the search space in library design. A key feature of the approach is the requirement that specific templates are included within the designed structures. Each template corresponds to the "central core" of a combinatorial library. The template is positioned within an acyclic chain whose length and bond orders are systematically varied, and the conformational space of each structure that results (core plus chain) is explored to determine whether it is able to link together two or more strongly interacting functional groups or pharmacophores located within a protein binding site. This fragment connection algorithm provides "generic" 3D molecules in the sense that the linking part (minus the template) is built from an all-carbon chain whose synthesis may not be easily achieved. Thus, in the second phase, 2D queries are derived from the molecular skeletons and used to identify possible reagents from a database. Each potential reagent is checked to ensure that it is compatible with the conformation of its parent 3D conformation and the constraints of the binding site. Combinations of these reagents according to the combinatorial library reaction scheme give product molecules that contain the desired core template and the key functional/pharmacophoric groups, and would be able to adopt a conformation compatible with the original molecular skeleton without any unfavorable intermolecular or intramolecular interactions. We discuss how this strategy compares with and relates to alternative approaches to both structure-based library design and de novo design.

摘要

传统的从头设计算法能够生成数以千计符合蛋白质结构约束的配体结构,但这些结构往往在合成上难以处理。在本文中,我们描述了基于结构的从头设计中的概念如何用于探索库设计中的搜索空间。该方法的一个关键特征是要求在设计的结构中包含特定的模板。每个模板对应于一个组合库的“核心”。模板位于一个无环链中,该链的长度和键序会系统地变化,然后探索每个生成结构(核心加链)的构象空间,以确定它是否能够将位于蛋白质结合位点内的两个或更多强相互作用的官能团或药效基团连接在一起。这种片段连接算法提供了“通用”的三维分子,因为连接部分(减去模板)是由全碳链构建的,其合成可能不容易实现。因此,在第二阶段,从分子骨架导出二维查询,并用于从数据库中识别可能的试剂。检查每个潜在试剂,以确保它与其母体三维构象的构象以及结合位点的约束条件兼容。根据组合库反应方案将这些试剂组合起来,得到的产物分子包含所需的核心模板和关键的官能团/药效基团,并且能够采用与原始分子骨架兼容的构象,而不会有任何不利的分子间或分子内相互作用。我们讨论了这种策略与基于结构的库设计和从头设计的替代方法相比如何以及有何关联。

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