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Geometrical and electro-static determinants of protein-protein interactions
Protein-protein interactions (PPI) are pivotal to the numerous processes in the cell. Therefore, it is of interest to document the analysis of these interactions in terms of binding sites, topology of the interacting structures and physiochemical properties of interacting interfaces and the of force...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9070632/ https://www.ncbi.nlm.nih.gov/pubmed/35574504 http://dx.doi.org/10.6026/97320630017851 |
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author | Kumar, Vicky Sood, Ashita Munshi, Anjana Gautam, Tarkeshwar Kulharia, Mahesh |
author_facet | Kumar, Vicky Sood, Ashita Munshi, Anjana Gautam, Tarkeshwar Kulharia, Mahesh |
author_sort | Kumar, Vicky |
collection | PubMed |
description | Protein-protein interactions (PPI) are pivotal to the numerous processes in the cell. Therefore, it is of interest to document the analysis of these interactions in terms of binding sites, topology of the interacting structures and physiochemical properties of interacting interfaces and the of forces interactions. The interaction interface of obligatory protein-protein complexes differs from that of the transient interactions. We have created a large database of protein-protein interactions containing over100 thousand interfaces. The structural redundancy was eliminated to obtain a non-redundant database of over 2,265 interaction interfaces. Therefore, it is of interest to document the analysis of these interactions in terms of binding sites, topology of the interacting structures and physiochemical properties of interacting interfaces and the offorces interactions. The residue interaction propensity and all of the rest of the parametric scores converged to a statistical indistinguishable common sub-range and followed the similar distribution trends for all three classes of sequence-based classifications PPInS. This indicates that the principles of molecular recognition are dependent on the preciseness of the fit in the interaction interfaces. Thus, it reinforces the importance of geometrical and electrostatic complementarity as the main determinants for PPIs. |
format | Online Article Text |
id | pubmed-9070632 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Biomedical Informatics |
record_format | MEDLINE/PubMed |
spelling | pubmed-90706322022-05-12 Geometrical and electro-static determinants of protein-protein interactions Kumar, Vicky Sood, Ashita Munshi, Anjana Gautam, Tarkeshwar Kulharia, Mahesh Bioinformation Research Article Protein-protein interactions (PPI) are pivotal to the numerous processes in the cell. Therefore, it is of interest to document the analysis of these interactions in terms of binding sites, topology of the interacting structures and physiochemical properties of interacting interfaces and the of forces interactions. The interaction interface of obligatory protein-protein complexes differs from that of the transient interactions. We have created a large database of protein-protein interactions containing over100 thousand interfaces. The structural redundancy was eliminated to obtain a non-redundant database of over 2,265 interaction interfaces. Therefore, it is of interest to document the analysis of these interactions in terms of binding sites, topology of the interacting structures and physiochemical properties of interacting interfaces and the offorces interactions. The residue interaction propensity and all of the rest of the parametric scores converged to a statistical indistinguishable common sub-range and followed the similar distribution trends for all three classes of sequence-based classifications PPInS. This indicates that the principles of molecular recognition are dependent on the preciseness of the fit in the interaction interfaces. Thus, it reinforces the importance of geometrical and electrostatic complementarity as the main determinants for PPIs. Biomedical Informatics 2021-10-31 /pmc/articles/PMC9070632/ /pubmed/35574504 http://dx.doi.org/10.6026/97320630017851 Text en © 2021 Biomedical Informatics https://creativecommons.org/licenses/by/3.0/This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License. |
spellingShingle | Research Article Kumar, Vicky Sood, Ashita Munshi, Anjana Gautam, Tarkeshwar Kulharia, Mahesh Geometrical and electro-static determinants of protein-protein interactions |
title | Geometrical and electro-static determinants of protein-protein interactions |
title_full | Geometrical and electro-static determinants of protein-protein interactions |
title_fullStr | Geometrical and electro-static determinants of protein-protein interactions |
title_full_unstemmed | Geometrical and electro-static determinants of protein-protein interactions |
title_short | Geometrical and electro-static determinants of protein-protein interactions |
title_sort | geometrical and electro-static determinants of protein-protein interactions |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9070632/ https://www.ncbi.nlm.nih.gov/pubmed/35574504 http://dx.doi.org/10.6026/97320630017851 |
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