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TWN-RENCOD: A novel method for protein binding site comparison
Several diverse proteins possess similar binding sites. Protein binding site comparison provides valuable insights for the drug discovery and development. Binding site similarities are useful in understanding polypharmacology, identifying potential off-targets and repurposing of known drugs. Many bi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798139/ https://www.ncbi.nlm.nih.gov/pubmed/36618985 http://dx.doi.org/10.1016/j.csbj.2022.12.014 |
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author | Choi, Kwang-Eun Balupuri, Anand Kang, Nam Sook |
author_facet | Choi, Kwang-Eun Balupuri, Anand Kang, Nam Sook |
author_sort | Choi, Kwang-Eun |
collection | PubMed |
description | Several diverse proteins possess similar binding sites. Protein binding site comparison provides valuable insights for the drug discovery and development. Binding site similarities are useful in understanding polypharmacology, identifying potential off-targets and repurposing of known drugs. Many binding site analysis and comparison methods are available today, however, these methods may not be adequate to explain variation in the activity of a drug or a small molecule against a number of similar proteins. Water molecules surrounding the protein surface contribute to structure and function of proteins. Water molecules form diverse types of hydrogen-bonded cyclic water-ring networks known as topological water networks (TWNs). Analysis of TWNs in binding site of proteins may improve understanding of the characteristics of binding sites. We propose TWN-based residue encoding (TWN-RENCOD), a novel binding site comparison method which compares the aqueous environment in binding sites of similar proteins. As compared to other existing methods, results obtained using our method correlated better with differences in wide range of activity of a known drug (Sunitinib) against nine different protein kinases (KIT, PDGFRA, VEGFR2, PHKG2, ITK, HPK1, MST3, PAK6 and CDK2). |
format | Online Article Text |
id | pubmed-9798139 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
spelling | pubmed-97981392023-01-05 TWN-RENCOD: A novel method for protein binding site comparison Choi, Kwang-Eun Balupuri, Anand Kang, Nam Sook Comput Struct Biotechnol J Research Article Several diverse proteins possess similar binding sites. Protein binding site comparison provides valuable insights for the drug discovery and development. Binding site similarities are useful in understanding polypharmacology, identifying potential off-targets and repurposing of known drugs. Many binding site analysis and comparison methods are available today, however, these methods may not be adequate to explain variation in the activity of a drug or a small molecule against a number of similar proteins. Water molecules surrounding the protein surface contribute to structure and function of proteins. Water molecules form diverse types of hydrogen-bonded cyclic water-ring networks known as topological water networks (TWNs). Analysis of TWNs in binding site of proteins may improve understanding of the characteristics of binding sites. We propose TWN-based residue encoding (TWN-RENCOD), a novel binding site comparison method which compares the aqueous environment in binding sites of similar proteins. As compared to other existing methods, results obtained using our method correlated better with differences in wide range of activity of a known drug (Sunitinib) against nine different protein kinases (KIT, PDGFRA, VEGFR2, PHKG2, ITK, HPK1, MST3, PAK6 and CDK2). Research Network of Computational and Structural Biotechnology 2022-12-19 /pmc/articles/PMC9798139/ /pubmed/36618985 http://dx.doi.org/10.1016/j.csbj.2022.12.014 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Research Article Choi, Kwang-Eun Balupuri, Anand Kang, Nam Sook TWN-RENCOD: A novel method for protein binding site comparison |
title | TWN-RENCOD: A novel method for protein binding site comparison |
title_full | TWN-RENCOD: A novel method for protein binding site comparison |
title_fullStr | TWN-RENCOD: A novel method for protein binding site comparison |
title_full_unstemmed | TWN-RENCOD: A novel method for protein binding site comparison |
title_short | TWN-RENCOD: A novel method for protein binding site comparison |
title_sort | twn-rencod: a novel method for protein binding site comparison |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798139/ https://www.ncbi.nlm.nih.gov/pubmed/36618985 http://dx.doi.org/10.1016/j.csbj.2022.12.014 |
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