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Binding-Site Match Maker (BSMM): A Computational Method for the Design of Multi-Target Ligands

Multi-target ligand strategies provide a valuable method of drug design. However, to develop a multi-target drug with the desired profile remains a challenge. Herein, we developed a computational method binding-site match maker (BSMM) for the design of multi-target ligands based on binding site matc...

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Detalles Bibliográficos
Autores principales: Zhou, Jinming, Wu, Jian Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7221819/
https://www.ncbi.nlm.nih.gov/pubmed/32316104
http://dx.doi.org/10.3390/molecules25081821
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author Zhou, Jinming
Wu, Jian Hui
author_facet Zhou, Jinming
Wu, Jian Hui
author_sort Zhou, Jinming
collection PubMed
description Multi-target ligand strategies provide a valuable method of drug design. However, to develop a multi-target drug with the desired profile remains a challenge. Herein, we developed a computational method binding-site match maker (BSMM) for the design of multi-target ligands based on binding site matching. BSMM was built based on geometric hashing algorithms and the representation of a binding-site with physicochemical (PC) points. The BSMM software was used to detect proteins with similar binding sites or subsites. In particular, BSMM is independent of protein global folds and sequences and is therefore applicable to the matching of any binding sites. The similar sites between protein pairs with low homology and/or different folds are generally not obvious to the visual inspection. The detection of such similar binding sites by BSMM could be of great value for the design of multi-target ligands.
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spelling pubmed-72218192020-05-21 Binding-Site Match Maker (BSMM): A Computational Method for the Design of Multi-Target Ligands Zhou, Jinming Wu, Jian Hui Molecules Article Multi-target ligand strategies provide a valuable method of drug design. However, to develop a multi-target drug with the desired profile remains a challenge. Herein, we developed a computational method binding-site match maker (BSMM) for the design of multi-target ligands based on binding site matching. BSMM was built based on geometric hashing algorithms and the representation of a binding-site with physicochemical (PC) points. The BSMM software was used to detect proteins with similar binding sites or subsites. In particular, BSMM is independent of protein global folds and sequences and is therefore applicable to the matching of any binding sites. The similar sites between protein pairs with low homology and/or different folds are generally not obvious to the visual inspection. The detection of such similar binding sites by BSMM could be of great value for the design of multi-target ligands. MDPI 2020-04-16 /pmc/articles/PMC7221819/ /pubmed/32316104 http://dx.doi.org/10.3390/molecules25081821 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhou, Jinming
Wu, Jian Hui
Binding-Site Match Maker (BSMM): A Computational Method for the Design of Multi-Target Ligands
title Binding-Site Match Maker (BSMM): A Computational Method for the Design of Multi-Target Ligands
title_full Binding-Site Match Maker (BSMM): A Computational Method for the Design of Multi-Target Ligands
title_fullStr Binding-Site Match Maker (BSMM): A Computational Method for the Design of Multi-Target Ligands
title_full_unstemmed Binding-Site Match Maker (BSMM): A Computational Method for the Design of Multi-Target Ligands
title_short Binding-Site Match Maker (BSMM): A Computational Method for the Design of Multi-Target Ligands
title_sort binding-site match maker (bsmm): a computational method for the design of multi-target ligands
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7221819/
https://www.ncbi.nlm.nih.gov/pubmed/32316104
http://dx.doi.org/10.3390/molecules25081821
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