FastGrow: on-the-fly growing and its application to DYRK1A

被引:0
|
作者
Patrick Penner
Virginie Martiny
Louis Bellmann
Florian Flachsenberg
Marcus Gastreich
Isabelle Theret
Christophe Meyer
Matthias Rarey
机构
[1] Universität Hamburg,ZBH
[2] Institut de Recherches Servier, Center for Bioinformatics
[3] BioSolveIT GmbH,undefined
[4] BioSolveIT GmbH,undefined
来源
Journal of Computer-Aided Molecular Design | 2022年 / 36卷
关键词
Fragment-based drug design; Molecular shape; Fragment growing; Fragment evolution; Structure-based drug design; Molecular docking;
D O I
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中图分类号
学科分类号
摘要
Fragment-based drug design is an established routine approach in both experimental and computational spheres. Growing fragment hits into viable ligands has increasingly shifted into the spotlight. FastGrow is an application based on a shape search algorithm that addresses this challenge at high speeds of a few milliseconds per fragment. It further features a pharmacophoric interaction description, ensemble flexibility, as well as geometry optimization to become a fully fledged structure-based modeling tool. All features were evaluated in detail on a previously reported collection of fragment growing scenarios extracted from crystallographic data. FastGrow was also shown to perform competitively versus established docking software. A case study on the DYRK1A kinase, using recently reported new chemotypes, illustrates FastGrow’s features in practice and its ability to identify active fragments. FastGrow is freely available to the public as a web server at https://fastgrow.plus/ and is part of the SeeSAR 3D software package.
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页码:639 / 651
页数:12
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