Cargando…
Progress and challenges in predicting protein interfaces
The majority of biological processes are mediated via protein–protein interactions. Determination of residues participating in such interactions improves our understanding of molecular mechanisms and facilitates the development of therapeutics. Experimental approaches to identifying interacting resi...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4719070/ https://www.ncbi.nlm.nih.gov/pubmed/25971595 http://dx.doi.org/10.1093/bib/bbv027 |
_version_ | 1782410876853157888 |
---|---|
author | Esmaielbeiki, Reyhaneh Krawczyk, Konrad Knapp, Bernhard Nebel, Jean-Christophe Deane, Charlotte M. |
author_facet | Esmaielbeiki, Reyhaneh Krawczyk, Konrad Knapp, Bernhard Nebel, Jean-Christophe Deane, Charlotte M. |
author_sort | Esmaielbeiki, Reyhaneh |
collection | PubMed |
description | The majority of biological processes are mediated via protein–protein interactions. Determination of residues participating in such interactions improves our understanding of molecular mechanisms and facilitates the development of therapeutics. Experimental approaches to identifying interacting residues, such as mutagenesis, are costly and time-consuming and thus, computational methods for this purpose could streamline conventional pipelines. Here we review the field of computational protein interface prediction. We make a distinction between methods which address proteins in general and those targeted at antibodies, owing to the radically different binding mechanism of antibodies. We organize the multitude of currently available methods hierarchically based on required input and prediction principles to provide an overview of the field. |
format | Online Article Text |
id | pubmed-4719070 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-47190702016-01-21 Progress and challenges in predicting protein interfaces Esmaielbeiki, Reyhaneh Krawczyk, Konrad Knapp, Bernhard Nebel, Jean-Christophe Deane, Charlotte M. Brief Bioinform Papers The majority of biological processes are mediated via protein–protein interactions. Determination of residues participating in such interactions improves our understanding of molecular mechanisms and facilitates the development of therapeutics. Experimental approaches to identifying interacting residues, such as mutagenesis, are costly and time-consuming and thus, computational methods for this purpose could streamline conventional pipelines. Here we review the field of computational protein interface prediction. We make a distinction between methods which address proteins in general and those targeted at antibodies, owing to the radically different binding mechanism of antibodies. We organize the multitude of currently available methods hierarchically based on required input and prediction principles to provide an overview of the field. Oxford University Press 2016-01 2015-05-13 /pmc/articles/PMC4719070/ /pubmed/25971595 http://dx.doi.org/10.1093/bib/bbv027 Text en © The Author 2015. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Papers Esmaielbeiki, Reyhaneh Krawczyk, Konrad Knapp, Bernhard Nebel, Jean-Christophe Deane, Charlotte M. Progress and challenges in predicting protein interfaces |
title | Progress and challenges in predicting protein interfaces |
title_full | Progress and challenges in predicting protein interfaces |
title_fullStr | Progress and challenges in predicting protein interfaces |
title_full_unstemmed | Progress and challenges in predicting protein interfaces |
title_short | Progress and challenges in predicting protein interfaces |
title_sort | progress and challenges in predicting protein interfaces |
topic | Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4719070/ https://www.ncbi.nlm.nih.gov/pubmed/25971595 http://dx.doi.org/10.1093/bib/bbv027 |
work_keys_str_mv | AT esmaielbeikireyhaneh progressandchallengesinpredictingproteininterfaces AT krawczykkonrad progressandchallengesinpredictingproteininterfaces AT knappbernhard progressandchallengesinpredictingproteininterfaces AT nebeljeanchristophe progressandchallengesinpredictingproteininterfaces AT deanecharlottem progressandchallengesinpredictingproteininterfaces |