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Coevolutive, evolutive and stochastic information in protein-protein interactions

Here, we investigate the contributions of coevolutive, evolutive and stochastic information in determining protein-protein interactions (PPIs) based on primary sequences of two interacting protein families A and B. Specifically, under the assumption that coevolutive information is imprinted on the i...

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Detalles Bibliográficos
Autores principales: Andrade, Miguel, Pontes, Camila, Treptow, Werner
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6906720/
https://www.ncbi.nlm.nih.gov/pubmed/31871588
http://dx.doi.org/10.1016/j.csbj.2019.10.005
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author Andrade, Miguel
Pontes, Camila
Treptow, Werner
author_facet Andrade, Miguel
Pontes, Camila
Treptow, Werner
author_sort Andrade, Miguel
collection PubMed
description Here, we investigate the contributions of coevolutive, evolutive and stochastic information in determining protein-protein interactions (PPIs) based on primary sequences of two interacting protein families A and B. Specifically, under the assumption that coevolutive information is imprinted on the interacting amino acids of two proteins in contrast to other (evolutive and stochastic) sources spread over their sequences, we dissect those contributions in terms of compensatory mutations at physically-coupled and uncoupled amino acids of A and B. We find that physically-coupled amino-acids at short range distances store the largest per-contact mutual information content, with a significant fraction of that content resulting from coevolutive sources alone. The information stored in coupled amino acids is shown further to discriminate multi-sequence alignments (MSAs) with the largest expectation fraction of PPI matches – a conclusion that holds against various definitions of intermolecular contacts and binding modes. When compared to the informational content resulting from evolution at long-range interactions, the mutual information in physically-coupled amino-acids is the strongest signal to distinguish PPIs derived from cospeciation and likely, the unique indication in case of molecular coevolution in independent genomes as the evolutive information must vanish for uncorrelated proteins.
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spelling pubmed-69067202019-12-23 Coevolutive, evolutive and stochastic information in protein-protein interactions Andrade, Miguel Pontes, Camila Treptow, Werner Comput Struct Biotechnol J Research Article Here, we investigate the contributions of coevolutive, evolutive and stochastic information in determining protein-protein interactions (PPIs) based on primary sequences of two interacting protein families A and B. Specifically, under the assumption that coevolutive information is imprinted on the interacting amino acids of two proteins in contrast to other (evolutive and stochastic) sources spread over their sequences, we dissect those contributions in terms of compensatory mutations at physically-coupled and uncoupled amino acids of A and B. We find that physically-coupled amino-acids at short range distances store the largest per-contact mutual information content, with a significant fraction of that content resulting from coevolutive sources alone. The information stored in coupled amino acids is shown further to discriminate multi-sequence alignments (MSAs) with the largest expectation fraction of PPI matches – a conclusion that holds against various definitions of intermolecular contacts and binding modes. When compared to the informational content resulting from evolution at long-range interactions, the mutual information in physically-coupled amino-acids is the strongest signal to distinguish PPIs derived from cospeciation and likely, the unique indication in case of molecular coevolution in independent genomes as the evolutive information must vanish for uncorrelated proteins. Research Network of Computational and Structural Biotechnology 2019-11-20 /pmc/articles/PMC6906720/ /pubmed/31871588 http://dx.doi.org/10.1016/j.csbj.2019.10.005 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Andrade, Miguel
Pontes, Camila
Treptow, Werner
Coevolutive, evolutive and stochastic information in protein-protein interactions
title Coevolutive, evolutive and stochastic information in protein-protein interactions
title_full Coevolutive, evolutive and stochastic information in protein-protein interactions
title_fullStr Coevolutive, evolutive and stochastic information in protein-protein interactions
title_full_unstemmed Coevolutive, evolutive and stochastic information in protein-protein interactions
title_short Coevolutive, evolutive and stochastic information in protein-protein interactions
title_sort coevolutive, evolutive and stochastic information in protein-protein interactions
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6906720/
https://www.ncbi.nlm.nih.gov/pubmed/31871588
http://dx.doi.org/10.1016/j.csbj.2019.10.005
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