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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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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
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author Wang, Haoqi
Mulgaonkar, Nirmitee
Pérez, Lisa M.
Fernando, Sandun
author_facet Wang, Haoqi
Mulgaonkar, Nirmitee
Pérez, Lisa M.
Fernando, Sandun
author_sort Wang, Haoqi
collection PubMed
description [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.
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spelling pubmed-90259922022-04-25 ELIXIR-A: An Interactive Visualization Tool for Multi-Target Pharmacophore Refinement Wang, Haoqi Mulgaonkar, Nirmitee Pérez, Lisa M. Fernando, Sandun ACS Omega [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. American Chemical Society 2022-04-05 /pmc/articles/PMC9025992/ /pubmed/35474832 http://dx.doi.org/10.1021/acsomega.1c07144 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Wang, Haoqi
Mulgaonkar, Nirmitee
Pérez, Lisa M.
Fernando, Sandun
ELIXIR-A: An Interactive Visualization Tool for Multi-Target Pharmacophore Refinement
title ELIXIR-A: An Interactive Visualization Tool for Multi-Target Pharmacophore Refinement
title_full ELIXIR-A: An Interactive Visualization Tool for Multi-Target Pharmacophore Refinement
title_fullStr ELIXIR-A: An Interactive Visualization Tool for Multi-Target Pharmacophore Refinement
title_full_unstemmed ELIXIR-A: An Interactive Visualization Tool for Multi-Target Pharmacophore Refinement
title_short ELIXIR-A: An Interactive Visualization Tool for Multi-Target Pharmacophore Refinement
title_sort elixir-a: an interactive visualization tool for multi-target pharmacophore refinement
url 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
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