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Elucidation of protein function using computational docking and hotspot analysis by ClusPro and FTMap
Starting with a crystal structure of a macromolecule, computational structural modeling can help to understand the associated biological processes, structure and function, as well as to reduce the number of further experiments required to characterize a given molecular entity. In the past decade, tw...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Union of Crystallography
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9159284/ https://www.ncbi.nlm.nih.gov/pubmed/35647916 http://dx.doi.org/10.1107/S2059798322002741 |
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author | Jones, George Jindal, Akhil Ghani, Usman Kotelnikov, Sergei Egbert, Megan Hashemi, Nasser Vajda, Sandor Padhorny, Dzmitry Kozakov, Dima |
author_facet | Jones, George Jindal, Akhil Ghani, Usman Kotelnikov, Sergei Egbert, Megan Hashemi, Nasser Vajda, Sandor Padhorny, Dzmitry Kozakov, Dima |
author_sort | Jones, George |
collection | PubMed |
description | Starting with a crystal structure of a macromolecule, computational structural modeling can help to understand the associated biological processes, structure and function, as well as to reduce the number of further experiments required to characterize a given molecular entity. In the past decade, two classes of powerful automated tools for investigating the binding properties of proteins have been developed: the protein–protein docking program ClusPro and the FTMap and FTSite programs for protein hotspot identification. These methods have been widely used by the research community by means of publicly available online servers, and models built using these automated tools have been reported in a large number of publications. Importantly, additional experimental information can be leveraged to further improve the predictive power of these approaches. Here, an overview of the methods and their biological applications is provided together with a brief interpretation of the results. |
format | Online Article Text |
id | pubmed-9159284 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | International Union of Crystallography |
record_format | MEDLINE/PubMed |
spelling | pubmed-91592842022-06-17 Elucidation of protein function using computational docking and hotspot analysis by ClusPro and FTMap Jones, George Jindal, Akhil Ghani, Usman Kotelnikov, Sergei Egbert, Megan Hashemi, Nasser Vajda, Sandor Padhorny, Dzmitry Kozakov, Dima Acta Crystallogr D Struct Biol Ccp4 Starting with a crystal structure of a macromolecule, computational structural modeling can help to understand the associated biological processes, structure and function, as well as to reduce the number of further experiments required to characterize a given molecular entity. In the past decade, two classes of powerful automated tools for investigating the binding properties of proteins have been developed: the protein–protein docking program ClusPro and the FTMap and FTSite programs for protein hotspot identification. These methods have been widely used by the research community by means of publicly available online servers, and models built using these automated tools have been reported in a large number of publications. Importantly, additional experimental information can be leveraged to further improve the predictive power of these approaches. Here, an overview of the methods and their biological applications is provided together with a brief interpretation of the results. International Union of Crystallography 2022-05-25 /pmc/articles/PMC9159284/ /pubmed/35647916 http://dx.doi.org/10.1107/S2059798322002741 Text en © George Jones et al. 2022 https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited. |
spellingShingle | Ccp4 Jones, George Jindal, Akhil Ghani, Usman Kotelnikov, Sergei Egbert, Megan Hashemi, Nasser Vajda, Sandor Padhorny, Dzmitry Kozakov, Dima Elucidation of protein function using computational docking and hotspot analysis by ClusPro and FTMap |
title | Elucidation of protein function using computational docking and hotspot analysis by ClusPro and FTMap
|
title_full | Elucidation of protein function using computational docking and hotspot analysis by ClusPro and FTMap
|
title_fullStr | Elucidation of protein function using computational docking and hotspot analysis by ClusPro and FTMap
|
title_full_unstemmed | Elucidation of protein function using computational docking and hotspot analysis by ClusPro and FTMap
|
title_short | Elucidation of protein function using computational docking and hotspot analysis by ClusPro and FTMap
|
title_sort | elucidation of protein function using computational docking and hotspot analysis by cluspro and ftmap |
topic | Ccp4 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9159284/ https://www.ncbi.nlm.nih.gov/pubmed/35647916 http://dx.doi.org/10.1107/S2059798322002741 |
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