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

[Image: see text] 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 a...

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Detalles Bibliográficos
Autores principales: Wang, Haoqi, Mulgaonkar, Nirmitee, Pérez, Lisa M., Fernando, Sandun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9025992/
https://www.ncbi.nlm.nih.gov/pubmed/35474832
http://dx.doi.org/10.1021/acsomega.1c07144
Descripción
Sumario:[Image: see text] 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.