Literature DB >> 27317745

Evolution of domain-peptide interactions to coadapt specificity and affinity to functional diversity.

Abdellali Kelil1, Emmanuel D Levy2, Stephen W Michnick3.   

Abstract

Evolution of complexity in eukaryotic proteomes has arisen, in part, through emergence of modular independently folded domains mediating protein interactions via binding to short linear peptides in proteins. Over 30 years, structural properties and sequence preferences of these peptides have been extensively characterized. Less successful, however, were efforts to establish relationships between physicochemical properties and functions of domain-peptide interactions. To our knowledge, we have devised the first strategy to exhaustively explore the binding specificity of protein domain-peptide interactions. We applied the strategy to SH3 domains to determine the properties of their binding peptides starting from various experimental data. The strategy identified the majority (∼70%) of experimentally determined SH3 binding sites. We discovered mutual relationships among binding specificity, binding affinity, and structural properties and evolution of linear peptides. Remarkably, we found that these properties are also related to functional diversity, defined by depth of proteins within hierarchies of gene ontologies. Our results revealed that linear peptides evolved to coadapt specificity and affinity to functional diversity of domain-peptide interactions. Thus, domain-peptide interactions follow human-constructed gene ontologies, which suggest that our understanding of biological process hierarchies reflect the way chemical and thermodynamic properties of linear peptides and their interaction networks, in general, have evolved.

Entities:  

Keywords:  binding affinity; binding specificity; domain–peptide interactions; functional specificity; linear peptides

Mesh:

Substances:

Year:  2016        PMID: 27317745      PMCID: PMC4941456          DOI: 10.1073/pnas.1518469113

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  63 in total

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Authors:  Tony Pawson; Piers Nash
Journal:  Science       Date:  2003-04-18       Impact factor: 47.728

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Journal:  Bioinformatics       Date:  2002       Impact factor: 6.937

3.  Protein-protein interaction affinity plays a crucial role in controlling the Sho1p-mediated signal transduction pathway in yeast.

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Journal:  Mol Cell       Date:  2004-06-18       Impact factor: 17.970

4.  Ubiquitin binds to and regulates a subset of SH3 domains.

Authors:  Svetoslava D Stamenova; Michael E French; Yuan He; Smitha A Francis; Zachary B Kramer; Linda Hicke
Journal:  Mol Cell       Date:  2007-01-26       Impact factor: 17.970

5.  Local structural disorder imparts plasticity on linear motifs.

Authors:  Monika Fuxreiter; Peter Tompa; István Simon
Journal:  Bioinformatics       Date:  2007-03-25       Impact factor: 6.937

Review 6.  Protein modules and signalling networks.

Authors:  T Pawson
Journal:  Nature       Date:  1995-02-16       Impact factor: 49.962

7.  The structural basis of peptide-protein binding strategies.

Authors:  Nir London; Dana Movshovitz-Attias; Ora Schueler-Furman
Journal:  Structure       Date:  2010-02-10       Impact factor: 5.006

8.  A novel peptide-SH3 interaction.

Authors:  A M Mongioví; P R Romano; S Panni; M Mendoza; W T Wong; A Musacchio; G Cesareni; P P Di Fiore
Journal:  EMBO J       Date:  1999-10-01       Impact factor: 11.598

9.  Prediction and functional analysis of native disorder in proteins from the three kingdoms of life.

Authors:  J J Ward; J S Sodhi; L J McGuffin; B F Buxton; D T Jones
Journal:  J Mol Biol       Date:  2004-03-26       Impact factor: 5.469

10.  SLiMFinder: a probabilistic method for identifying over-represented, convergently evolved, short linear motifs in proteins.

Authors:  Richard J Edwards; Norman E Davey; Denis C Shields
Journal:  PLoS One       Date:  2007-10-03       Impact factor: 3.240

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  14 in total

1.  Molecular basis of interactions between SH3 domain-containing proteins and the proline-rich region of the ubiquitin ligase Itch.

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Journal:  J Biol Chem       Date:  2017-02-24       Impact factor: 5.157

Review 2.  Structure function relations in PDZ-domain-containing proteins: Implications for protein networks in cellular signalling.

Authors:  G P Manjunath; Praveena L Ramanujam; Sanjeev Galande
Journal:  J Biosci       Date:  2018-03       Impact factor: 1.826

3.  MotifAnalyzer-PDZ: A computational program to investigate the evolution of PDZ-binding target specificity.

Authors:  Jordan Valgardson; Robin Cosbey; Paul Houser; Milo Rupp; Raiden Van Bronkhorst; Michael Lee; Filip Jagodzinski; Jeanine F Amacher
Journal:  Protein Sci       Date:  2019-11-01       Impact factor: 6.725

4.  CellectSeq: In silico discovery of antibodies targeting integral membrane proteins combining in situ selections and next-generation sequencing.

Authors:  Abdellali Kelil; Eugenio Gallo; Sunandan Banerjee; Jarrett J Adams; Sachdev S Sidhu
Journal:  Commun Biol       Date:  2021-05-12

5.  Exhaustive search of linear information encoding protein-peptide recognition.

Authors:  Abdellali Kelil; Benjamin Dubreuil; Emmanuel D Levy; Stephen W Michnick
Journal:  PLoS Comput Biol       Date:  2017-04-20       Impact factor: 4.475

Review 6.  Interactions by Disorder - A Matter of Context.

Authors:  Katrine Bugge; Inna Brakti; Catarina B Fernandes; Jesper E Dreier; Jeppe E Lundsgaard; Johan G Olsen; Karen Skriver; Birthe B Kragelund
Journal:  Front Mol Biosci       Date:  2020-06-16

7.  SLiM-Enrich: computational assessment of protein-protein interaction data as a source of domain-motif interactions.

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Journal:  PeerJ       Date:  2018-10-31       Impact factor: 2.984

8.  Protein Abundance Biases the Amino Acid Composition of Disordered Regions to Minimize Non-functional Interactions.

Authors:  Benjamin Dubreuil; Or Matalon; Emmanuel D Levy
Journal:  J Mol Biol       Date:  2019-08-20       Impact factor: 5.469

Review 9.  Linking molecular evolution to molecular grafting.

Authors:  Conan K Wang; David J Craik
Journal:  J Biol Chem       Date:  2021-02-16       Impact factor: 5.157

10.  Most yeast SH3 domains bind peptide targets with high intrinsic specificity.

Authors:  Tom Brown; Nick Brown; Elliott J Stollar
Journal:  PLoS One       Date:  2018-02-22       Impact factor: 3.240

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