Structural and Computational Characterization of Disease-Related Mutations Involved in Protein-Protein Interfaces
One of the known potential effects of disease-causing amino acid substitutions in proteins is to modulate protein-protein interactions (PPIs). To interpret such variants at the molecular level and to obtain useful information for prediction purposes, it is important to determine whether they are located at protein-protein interfaces, which are composed of two main regions, core and rim, with different evolutionary conservation and physicochemical properties. Here we have performed a structural, energetics and computational analysis of interactions between proteins hosting mutations related to diseases detected in newborn screening. Interface residues were classified as core or rim, showing that the core residues contribute the most to the binding free energy of the PPI. Disease-causing variants are more likely to occur at the interface core region rather than at the interface rim (<i>p</i> < 0.0001). In contrast, neutral variants are more often found at the interface rim or at the non-interacting surface rather than at the interface core region. We also found that arginine, tryptophan, and tyrosine are over-represented among mutated residues leading to disease. These results can enhance our understanding of disease at molecular level and thus contribute towards personalized medicine by helping clinicians to provide adequate diagnosis and treatments.
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Multidisciplinary Digital Publishing Institute
2019-03-29
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Subjects: | Protein-protein interactions, Single amino acid variants, Structural bioinformatics, Computational docking, Interface prediction, |
Online Access: | http://hdl.handle.net/10261/180175 http://dx.doi.org/10.13039/501100000780 http://dx.doi.org/10.13039/100013276 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/501100003339 |
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dig-icvv-es-10261-1801752021-12-27T16:15:26Z Structural and Computational Characterization of Disease-Related Mutations Involved in Protein-Protein Interfaces Navío, Dàmaris Rosell, Mireia Aguirre, Josu Cruz, Xavier de la Fernández-Recio, Juan Consejo Superior de Investigaciones Científicas (España) European Commission Ministerio de Economía y Competitividad (España) Interreg POCTEFA Protein-protein interactions Single amino acid variants Structural bioinformatics Computational docking Interface prediction One of the known potential effects of disease-causing amino acid substitutions in proteins is to modulate protein-protein interactions (PPIs). To interpret such variants at the molecular level and to obtain useful information for prediction purposes, it is important to determine whether they are located at protein-protein interfaces, which are composed of two main regions, core and rim, with different evolutionary conservation and physicochemical properties. Here we have performed a structural, energetics and computational analysis of interactions between proteins hosting mutations related to diseases detected in newborn screening. Interface residues were classified as core or rim, showing that the core residues contribute the most to the binding free energy of the PPI. Disease-causing variants are more likely to occur at the interface core region rather than at the interface rim (<i>p</i> < 0.0001). In contrast, neutral variants are more often found at the interface rim or at the non-interacting surface rather than at the interface core region. We also found that arginine, tryptophan, and tyrosine are over-represented among mutated residues leading to disease. These results can enhance our understanding of disease at molecular level and thus contribute towards personalized medicine by helping clinicians to provide adequate diagnosis and treatments. This research was funding by the EU European Regional Development Fund (ERDF) through the Program Interreg V-A Spain-France-Andorra (POCTEFA), by the CSIC (intramural grant number 201720I031), and by the Spanish Ministry of Economy and Competitiveness (grants BIO2016-79930-R and SAF2016-80255-R). M.R. is recipient of an FPI fellowship from the Severo Ochoa program We acknowledge support by the CSIC Open Access Publication Initiative through its Unit of Information Resources for Research (URICI) 2019-04-16T08:48:55Z 2019-04-16T08:48:55Z 2019-03-29 2019-04-16T08:48:56Z artículo http://purl.org/coar/resource_type/c_6501 International Journal of Molecular Sciences 20(7): 1583 (2019) 1661-6596 http://hdl.handle.net/10261/180175 10.3390/ijms20071583 1422-0067 http://dx.doi.org/10.13039/501100000780 http://dx.doi.org/10.13039/100013276 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/501100003339 30934865 #PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/BIO2016-79930-R info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/SAF2016-80255-R Publisher's version http://dx.doi.org/10.3390/ijms20071583 Sí open Multidisciplinary Digital Publishing Institute |
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Protein-protein interactions Single amino acid variants Structural bioinformatics Computational docking Interface prediction Protein-protein interactions Single amino acid variants Structural bioinformatics Computational docking Interface prediction |
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Protein-protein interactions Single amino acid variants Structural bioinformatics Computational docking Interface prediction Protein-protein interactions Single amino acid variants Structural bioinformatics Computational docking Interface prediction Navío, Dàmaris Rosell, Mireia Aguirre, Josu Cruz, Xavier de la Fernández-Recio, Juan Structural and Computational Characterization of Disease-Related Mutations Involved in Protein-Protein Interfaces |
description |
One of the known potential effects of disease-causing amino acid substitutions in proteins is to modulate protein-protein interactions (PPIs). To interpret such variants at the molecular level and to obtain useful information for prediction purposes, it is important to determine whether they are located at protein-protein interfaces, which are composed of two main regions, core and rim, with different evolutionary conservation and physicochemical properties. Here we have performed a structural, energetics and computational analysis of interactions between proteins hosting mutations related to diseases detected in newborn screening. Interface residues were classified as core or rim, showing that the core residues contribute the most to the binding free energy of the PPI. Disease-causing variants are more likely to occur at the interface core region rather than at the interface rim (<i>p</i> < 0.0001). In contrast, neutral variants are more often found at the interface rim or at the non-interacting surface rather than at the interface core region. We also found that arginine, tryptophan, and tyrosine are over-represented among mutated residues leading to disease. These results can enhance our understanding of disease at molecular level and thus contribute towards personalized medicine by helping clinicians to provide adequate diagnosis and treatments. |
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Consejo Superior de Investigaciones Científicas (España) |
author_facet |
Consejo Superior de Investigaciones Científicas (España) Navío, Dàmaris Rosell, Mireia Aguirre, Josu Cruz, Xavier de la Fernández-Recio, Juan |
format |
artículo |
topic_facet |
Protein-protein interactions Single amino acid variants Structural bioinformatics Computational docking Interface prediction |
author |
Navío, Dàmaris Rosell, Mireia Aguirre, Josu Cruz, Xavier de la Fernández-Recio, Juan |
author_sort |
Navío, Dàmaris |
title |
Structural and Computational Characterization of Disease-Related Mutations Involved in Protein-Protein Interfaces |
title_short |
Structural and Computational Characterization of Disease-Related Mutations Involved in Protein-Protein Interfaces |
title_full |
Structural and Computational Characterization of Disease-Related Mutations Involved in Protein-Protein Interfaces |
title_fullStr |
Structural and Computational Characterization of Disease-Related Mutations Involved in Protein-Protein Interfaces |
title_full_unstemmed |
Structural and Computational Characterization of Disease-Related Mutations Involved in Protein-Protein Interfaces |
title_sort |
structural and computational characterization of disease-related mutations involved in protein-protein interfaces |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2019-03-29 |
url |
http://hdl.handle.net/10261/180175 http://dx.doi.org/10.13039/501100000780 http://dx.doi.org/10.13039/100013276 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/501100003339 |
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_version_ |
1777670930913296384 |