期刊
ACS OMEGA
卷 7, 期 15, 页码 12707-12715出版社
AMER CHEMICAL SOC
DOI: 10.1021/acsomega.1c07144
关键词
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资金
- Texas A&M High Performance Research Computing (HPRC) group
Pharmacophore modeling is crucial in computer-aided drug design, and our Python tool ELIXIR-A can refine pharmacophores between multiple ligands, contributing to virtual screening platforms.
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 de novo 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.
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