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基于药效团的片段空间搜索的从头设计。

De novo design by pharmacophore-based searches in fragment spaces.

机构信息

Center for Bioinformatics, University of Hamburg, Bundesstr. 43, 20146 Hamburg, Germany.

出版信息

J Comput Aided Mol Des. 2011 Oct;25(10):931-45. doi: 10.1007/s10822-011-9473-6. Epub 2011 Sep 16.

DOI:10.1007/s10822-011-9473-6
PMID:21922280
Abstract

De novo ligand design supports the search for novel molecular scaffolds in medicinal chemistry projects. This search can either be based on structural information of the targeted active site (structure-based approach) or on similarity to known binders (ligand-based approach). In the absence of structural information on the target, pharmacophores provide a way to find topologically novel scaffolds. Fragment spaces have proven to be a valuable source for molecular structures in de novo design that are both diverse and synthetically accessible. They also offer a simple way to formulate custom chemical spaces. We have implemented a new method which stochastically constructs new molecules from fragment spaces under consideration of a three dimensional pharmacophore. The program has been tested on several published pharmacophores and is shown to be able to reproduce scaffold hops from the literature, which resulted in new chemical entities.

摘要

从头设计配体支持在药物化学项目中寻找新的分子骨架。这种搜索可以基于靶标活性位点的结构信息(基于结构的方法),也可以基于与已知配体的相似性(基于配体的方法)。在缺乏靶标结构信息的情况下,药效团为寻找拓扑新颖的骨架提供了一种方法。片段空间已被证明是从头设计中具有多样性和可合成性的分子结构的有价值的来源。它们还提供了一种简单的方法来制定自定义化学空间。我们已经实现了一种新方法,该方法在考虑三维药效团的情况下从考虑的片段空间中随机构建新分子。该程序已经在几个已发表的药效团上进行了测试,并且能够重现文献中的骨架跃迁,从而产生新的化学实体。

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引用本文的文献

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J Comput Aided Mol Des. 2023 Jan;37(1):1-16. doi: 10.1007/s10822-022-00485-y. Epub 2022 Nov 24.
2
Has Artificial Intelligence Impacted Drug Discovery?人工智能是否影响了药物发现?
Methods Mol Biol. 2022;2390:153-176. doi: 10.1007/978-1-0716-1787-8_6.
3
Water Pharmacophore: Designing Ligands using Molecular Dynamics Simulations with Water.水药效团:使用含水分子的分子动力学模拟设计配体。

本文引用的文献

1
De novo design: balancing novelty and confined chemical space.从头设计:平衡新颖性和受限的化学空间。
Expert Opin Drug Discov. 2010 Aug;5(8):789-812. doi: 10.1517/17460441.2010.497534. Epub 2010 Jun 30.
2
NovoFLAP: A ligand-based de novo design approach for the generation of medicinally relevant ideas.NovoFLAP:一种基于配体的从头设计方法,用于生成具有医学相关性的创意。
J Chem Inf Model. 2010 Jul 26;50(7):1296-303. doi: 10.1021/ci100080r.
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One concept, three implementations of 3D pharmacophore-based virtual screening: distinct coverage of chemical search space.
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Search for the pharmacophore of histone deacetylase inhibitors using pharmacophore query and docking study.利用药效团查询和对接研究寻找组蛋白去乙酰化酶抑制剂的药效团。
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Three-dimensional pharmacophore methods in drug discovery.药物发现中的三维药效团方法。
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On the art of compiling and using 'drug-like' chemical fragment spaces.论“类药”化学片段空间的编纂与应用艺术。
ChemMedChem. 2008 Oct;3(10):1503-7. doi: 10.1002/cmdc.200800178.
8
Recent developments in de novo design and scaffold hopping.从头设计和骨架跃迁的最新进展。
Curr Opin Drug Discov Devel. 2008 May;11(3):365-74.
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Optimization by simulated annealing.模拟退火优化。
Science. 1983 May 13;220(4598):671-80. doi: 10.1126/science.220.4598.671.
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Searching for drug scaffolds with 3D pharmacophores and neural network ensembles.
Angew Chem Int Ed Engl. 2007;46(28):5336-9. doi: 10.1002/anie.200604125.