Cargando…
Integrating water exclusion theory into βcontacts to predict binding free energy changes and binding hot spots
BACKGROUND: Binding free energy and binding hot spots at protein-protein interfaces are two important research areas for understanding protein interactions. Computational methods have been developed previously for accurate prediction of binding free energy change upon mutation for interfacial residu...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3941611/ https://www.ncbi.nlm.nih.gov/pubmed/24568581 http://dx.doi.org/10.1186/1471-2105-15-57 |
_version_ | 1782305956496932864 |
---|---|
author | Liu, Qian Hoi, Steven CH Kwoh, Chee Keong Wong, Limsoon Li, Jinyan |
author_facet | Liu, Qian Hoi, Steven CH Kwoh, Chee Keong Wong, Limsoon Li, Jinyan |
author_sort | Liu, Qian |
collection | PubMed |
description | BACKGROUND: Binding free energy and binding hot spots at protein-protein interfaces are two important research areas for understanding protein interactions. Computational methods have been developed previously for accurate prediction of binding free energy change upon mutation for interfacial residues. However, a large number of interrupted and unimportant atomic contacts are used in the training phase which caused accuracy loss. RESULTS: This work proposes a new method, βACV( ASA ), to predict the change of binding free energy after alanine mutations. βACV( ASA ) integrates accessible surface area (ASA) and our newly defined β contacts together into an atomic contact vector (ACV). A β contact between two atoms is a direct contact without being interrupted by any other atom between them. A β contact’s potential contribution to protein binding is also supposed to be inversely proportional to its ASA to follow the water exclusion hypothesis of binding hot spots. Tested on a dataset of 396 alanine mutations, our method is found to be superior in classification performance to many other methods, including Robetta, FoldX, HotPOINT, an ACV method of β contacts without ASA integration, and ACV( ASA ) methods (similar to βACV( ASA ) but based on distance-cutoff contacts). Based on our data analysis and results, we can draw conclusions that: (i) our method is powerful in the prediction of binding free energy change after alanine mutation; (ii) β contacts are better than distance-cutoff contacts for modeling the well-organized protein-binding interfaces; (iii) β contacts usually are only a small fraction number of the distance-based contacts; and (iv) water exclusion is a necessary condition for a residue to become a binding hot spot. CONCLUSIONS: βACV( ASA ) is designed using the advantages of both β contacts and water exclusion. It is an excellent tool to predict binding free energy changes and binding hot spots after alanine mutation. |
format | Online Article Text |
id | pubmed-3941611 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-39416112014-03-14 Integrating water exclusion theory into βcontacts to predict binding free energy changes and binding hot spots Liu, Qian Hoi, Steven CH Kwoh, Chee Keong Wong, Limsoon Li, Jinyan BMC Bioinformatics Research Article BACKGROUND: Binding free energy and binding hot spots at protein-protein interfaces are two important research areas for understanding protein interactions. Computational methods have been developed previously for accurate prediction of binding free energy change upon mutation for interfacial residues. However, a large number of interrupted and unimportant atomic contacts are used in the training phase which caused accuracy loss. RESULTS: This work proposes a new method, βACV( ASA ), to predict the change of binding free energy after alanine mutations. βACV( ASA ) integrates accessible surface area (ASA) and our newly defined β contacts together into an atomic contact vector (ACV). A β contact between two atoms is a direct contact without being interrupted by any other atom between them. A β contact’s potential contribution to protein binding is also supposed to be inversely proportional to its ASA to follow the water exclusion hypothesis of binding hot spots. Tested on a dataset of 396 alanine mutations, our method is found to be superior in classification performance to many other methods, including Robetta, FoldX, HotPOINT, an ACV method of β contacts without ASA integration, and ACV( ASA ) methods (similar to βACV( ASA ) but based on distance-cutoff contacts). Based on our data analysis and results, we can draw conclusions that: (i) our method is powerful in the prediction of binding free energy change after alanine mutation; (ii) β contacts are better than distance-cutoff contacts for modeling the well-organized protein-binding interfaces; (iii) β contacts usually are only a small fraction number of the distance-based contacts; and (iv) water exclusion is a necessary condition for a residue to become a binding hot spot. CONCLUSIONS: βACV( ASA ) is designed using the advantages of both β contacts and water exclusion. It is an excellent tool to predict binding free energy changes and binding hot spots after alanine mutation. BioMed Central 2014-02-26 /pmc/articles/PMC3941611/ /pubmed/24568581 http://dx.doi.org/10.1186/1471-2105-15-57 Text en Copyright © 2014 Liu et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Liu, Qian Hoi, Steven CH Kwoh, Chee Keong Wong, Limsoon Li, Jinyan Integrating water exclusion theory into βcontacts to predict binding free energy changes and binding hot spots |
title | Integrating water exclusion theory into βcontacts to predict binding free energy changes and binding hot spots |
title_full | Integrating water exclusion theory into βcontacts to predict binding free energy changes and binding hot spots |
title_fullStr | Integrating water exclusion theory into βcontacts to predict binding free energy changes and binding hot spots |
title_full_unstemmed | Integrating water exclusion theory into βcontacts to predict binding free energy changes and binding hot spots |
title_short | Integrating water exclusion theory into βcontacts to predict binding free energy changes and binding hot spots |
title_sort | integrating water exclusion theory into βcontacts to predict binding free energy changes and binding hot spots |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3941611/ https://www.ncbi.nlm.nih.gov/pubmed/24568581 http://dx.doi.org/10.1186/1471-2105-15-57 |
work_keys_str_mv | AT liuqian integratingwaterexclusiontheoryintobcontactstopredictbindingfreeenergychangesandbindinghotspots AT hoistevench integratingwaterexclusiontheoryintobcontactstopredictbindingfreeenergychangesandbindinghotspots AT kwohcheekeong integratingwaterexclusiontheoryintobcontactstopredictbindingfreeenergychangesandbindinghotspots AT wonglimsoon integratingwaterexclusiontheoryintobcontactstopredictbindingfreeenergychangesandbindinghotspots AT lijinyan integratingwaterexclusiontheoryintobcontactstopredictbindingfreeenergychangesandbindinghotspots |