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ELIXIR-A:一种用于多靶点药效团优化的交互式可视化工具。

ELIXIR-A: An Interactive Visualization Tool for Multi-Target Pharmacophore Refinement.

作者信息

Wang Haoqi, Mulgaonkar Nirmitee, Pérez Lisa M, Fernando Sandun

机构信息

Biological and Agricultural Engineering Department, Texas A&M University, College Station, Texas 77843, United States.

High Performance Research Computing, Texas A&M University, College Station, Texas 77843, United States.

出版信息

ACS Omega. 2022 Apr 5;7(15):12707-12715. doi: 10.1021/acsomega.1c07144. eCollection 2022 Apr 19.

Abstract

Pharmacophore modeling is an important step in computer-aided drug design for identifying interaction points between the receptor and ligand complex. Pharmacophore-based models can be used for drug design, lead identification, and optimization in virtual screening as well as for multi-target drug design. There is a need to develop a user-friendly interface to filter the pharmacophore points resulting from multiple ligand conformations. Here, we present ELIXIR-A, a Python-based pharmacophore refinement tool, to help refine the pharmacophores between multiple ligands from multiple receptors. Furthermore, the output can be easily used in virtual pharmacophore-based screening platforms, thereby contributing to the development of drug discovery.

摘要

药效团建模是计算机辅助药物设计中识别受体与配体复合物之间相互作用点的重要步骤。基于药效团的模型可用于药物设计、先导物识别、虚拟筛选中的优化以及多靶点药物设计。开发一个用户友好的界面来筛选由多个配体构象产生的药效团点是很有必要的。在此,我们展示了ELIXIR-A,一个基于Python的药效团优化工具,以帮助优化来自多个受体的多个配体之间的药效团。此外,其输出结果可轻松用于基于虚拟药效团的筛选平台,从而推动药物发现的发展。

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