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药物发现中基于配体和结构的虚拟筛选方法:综述

Ligand and structure-based virtual screening approaches in drug discovery: minireview.

作者信息

da Rocha Matheus Nunes, de Sousa Damião Sampaio, da Silva Mendes Francisco Rogenio, Dos Santos Helcio Silva, Marinho Gabrielle Silva, Marinho Márcia Machado, Marinho Emmanuel Silva

机构信息

Postgraduate Program in Natural Sciences, Sciences and Technology Center, State University of Ceará, Fortaleza, CE, Brazil.

Chemistry Department, State University of Acaraú Valley, Sobral, CE, Brazil.

出版信息

Mol Divers. 2025 Jun;29(3):2799-2809. doi: 10.1007/s11030-024-10979-6. Epub 2024 Sep 2.

Abstract

The compilation of ligand and structure-based molecular modeling methods has become an important practice in virtual screening applied to drug discovery. This systematic review addresses and ranks various virtual screening strategies to drive the selection of the optimal method for studies that have as their starting point a multi-ligand investigation and investigation based on the protein structure of a therapeutic target. This study shows examples of applications and an evaluation based on the objective and problematic of a series of virtual screening studies present in the ScienceDirect® database. The results showed that the molecular docking technique is widely used in scientific production, indicating that approaches that use protein structure as a starting point are the most promising strategy for drug discovery that relies on virtual screening-based research.

摘要

基于配体和结构的分子建模方法的汇编已成为药物发现虚拟筛选中的一项重要实践。本系统综述探讨并对各种虚拟筛选策略进行排名,以推动为以多配体研究和基于治疗靶点蛋白质结构的研究为起点的研究选择最佳方法。本研究展示了应用实例,并基于ScienceDirect®数据库中一系列虚拟筛选研究的目标和问题进行了评估。结果表明,分子对接技术在科研成果中被广泛使用,这表明以蛋白质结构为起点的方法是依赖基于虚拟筛选研究的药物发现中最有前景的策略。

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