Conservation of coevolving protein interfaces bridges prokaryote-eukaryote homologies in the twilight zone.
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| Title: | Conservation of coevolving protein interfaces bridges prokaryote-eukaryote homologies in the twilight zone. |
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| Authors: | Rodriguez-Rivas, Juan1, Marsili, Simone1 simo.marsili@gmail.com, Juan, David1 dadejuan@cnio.es, Valencia, Alfonso1 |
| Source: | Proceedings of the National Academy of Sciences of the United States of America. 12/27/2016, Vol. 113 Issue 52, p15018-15023. 6p. |
| Subjects: | Protein-protein interactions, Prokaryotes, Eukaryotes, Protein expression, Nucleotide sequencing |
| Abstract: | Protein-protein interactions are fundamental for the proper functioning of the cell. As a result, protein interaction surfaces are subject to strong evolutionary constraints. Recent developments have shown that residue coevolution provides accurate predictions of heterodimeric protein interfaces from sequence information. So far these approaches have been limited to the analysis of families of prokaryotic complexes for which large multiple sequence alignments of homologous sequences can be compiled. We explore the hypothesis that coevolution points to structurally conserved contacts at protein-protein interfaces, which can be reliably projected to homologous complexes with distantly related sequences. We introduce a domain-centered protocol to study the interplay between residue coevolution and structural conservation of protein-protein interfaces. We show that sequencebased coevolutionary analysis systematically identifies residue contacts at prokaryotic interfaces that are structurally conserved at the interface of their eukaryotic counterparts. In turn, this allows the prediction of conserved contacts at eukaryotic protein-protein interfaces with high confidence using solely mutational patterns extracted from prokaryotic genomes. Even in the context of high divergence in sequence (the twilight zone), where standard homology modeling of protein complexes is unreliable, our approach provides sequencebased accurate information about specific details of protein interactions at the residue level. Selected examples of the application of prokaryotic coevolutionary analysis to the prediction of eukaryotic interfaces further illustrate the potential of this approach. [ABSTRACT FROM AUTHOR] |
| Copyright of Proceedings of the National Academy of Sciences of the United States of America is the property of National Academy of Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 120497196 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Conservation of coevolving protein interfaces bridges prokaryote-eukaryote homologies in the twilight zone. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Rodriguez-Rivas%2C+Juan%22">Rodriguez-Rivas, Juan</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Marsili%2C+Simone%22">Marsili, Simone</searchLink><relatesTo>1</relatesTo><i> simo.marsili@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Juan%2C+David%22">Juan, David</searchLink><relatesTo>1</relatesTo><i> dadejuan@cnio.es</i><br /><searchLink fieldCode="AR" term="%22Valencia%2C+Alfonso%22">Valencia, Alfonso</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Proceedings+of+the+National+Academy+of+Sciences+of+the+United+States+of+America%22">Proceedings of the National Academy of Sciences of the United States of America</searchLink>. 12/27/2016, Vol. 113 Issue 52, p15018-15023. 6p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Protein-protein+interactions%22">Protein-protein interactions</searchLink><br /><searchLink fieldCode="DE" term="%22Prokaryotes%22">Prokaryotes</searchLink><br /><searchLink fieldCode="DE" term="%22Eukaryotes%22">Eukaryotes</searchLink><br /><searchLink fieldCode="DE" term="%22Protein+expression%22">Protein expression</searchLink><br /><searchLink fieldCode="DE" term="%22Nucleotide+sequencing%22">Nucleotide sequencing</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Protein-protein interactions are fundamental for the proper functioning of the cell. As a result, protein interaction surfaces are subject to strong evolutionary constraints. Recent developments have shown that residue coevolution provides accurate predictions of heterodimeric protein interfaces from sequence information. So far these approaches have been limited to the analysis of families of prokaryotic complexes for which large multiple sequence alignments of homologous sequences can be compiled. We explore the hypothesis that coevolution points to structurally conserved contacts at protein-protein interfaces, which can be reliably projected to homologous complexes with distantly related sequences. We introduce a domain-centered protocol to study the interplay between residue coevolution and structural conservation of protein-protein interfaces. We show that sequencebased coevolutionary analysis systematically identifies residue contacts at prokaryotic interfaces that are structurally conserved at the interface of their eukaryotic counterparts. In turn, this allows the prediction of conserved contacts at eukaryotic protein-protein interfaces with high confidence using solely mutational patterns extracted from prokaryotic genomes. Even in the context of high divergence in sequence (the twilight zone), where standard homology modeling of protein complexes is unreliable, our approach provides sequencebased accurate information about specific details of protein interactions at the residue level. Selected examples of the application of prokaryotic coevolutionary analysis to the prediction of eukaryotic interfaces further illustrate the potential of this approach. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Proceedings of the National Academy of Sciences of the United States of America is the property of National Academy of Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1073/pnas.1611861114 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 6 StartPage: 15018 Subjects: – SubjectFull: Protein-protein interactions Type: general – SubjectFull: Prokaryotes Type: general – SubjectFull: Eukaryotes Type: general – SubjectFull: Protein expression Type: general – SubjectFull: Nucleotide sequencing Type: general Titles: – TitleFull: Conservation of coevolving protein interfaces bridges prokaryote-eukaryote homologies in the twilight zone. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Rodriguez-Rivas, Juan – PersonEntity: Name: NameFull: Marsili, Simone – PersonEntity: Name: NameFull: Juan, David – PersonEntity: Name: NameFull: Valencia, Alfonso IsPartOfRelationships: – BibEntity: Dates: – D: 27 M: 12 Text: 12/27/2016 Type: published Y: 2016 Identifiers: – Type: issn-print Value: 00278424 Numbering: – Type: volume Value: 113 – Type: issue Value: 52 Titles: – TitleFull: Proceedings of the National Academy of Sciences of the United States of America Type: main |
| ResultId | 1 |
