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Deriving Heterospecific Self-Assembling Protein–Protein Interactions Using a Computational Interactome Screen
Interactions between naturally occurring proteins are highly specific, with protein-network imbalances associated with numerous diseases. For designed protein–protein interactions (PPIs), required specificity can be notoriously difficult to engineer. To accelerate this process, we have derived pepti...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4751974/ https://www.ncbi.nlm.nih.gov/pubmed/26655848 http://dx.doi.org/10.1016/j.jmb.2015.11.022 |
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author | Crooks, Richard O. Baxter, Daniel Panek, Anna S. Lubben, Anneke T. Mason, Jody M. |
author_facet | Crooks, Richard O. Baxter, Daniel Panek, Anna S. Lubben, Anneke T. Mason, Jody M. |
author_sort | Crooks, Richard O. |
collection | PubMed |
description | Interactions between naturally occurring proteins are highly specific, with protein-network imbalances associated with numerous diseases. For designed protein–protein interactions (PPIs), required specificity can be notoriously difficult to engineer. To accelerate this process, we have derived peptides that form heterospecific PPIs when combined. This is achieved using software that generates large virtual libraries of peptide sequences and searches within the resulting interactome for preferentially interacting peptides. To demonstrate feasibility, we have (i) generated 1536 peptide sequences based on the parallel dimeric coiled-coil motif and varied residues known to be important for stability and specificity, (ii) screened the 1,180,416 member interactome for predicted T(m) values and (iii) used predicted T(m) cutoff points to isolate eight peptides that form four heterospecific PPIs when combined. This required that all 32 hypothetical off-target interactions within the eight-peptide interactome be disfavoured and that the four desired interactions pair correctly. Lastly, we have verified the approach by characterising all 36 pairs within the interactome. In analysing the output, we hypothesised that several sequences are capable of adopting antiparallel orientations. We subsequently improved the software by removing sequences where doing so led to fully complementary electrostatic pairings. Our approach can be used to derive increasingly large and therefore complex sets of heterospecific PPIs with a wide range of potential downstream applications from disease modulation to the design of biomaterials and peptides in synthetic biology. |
format | Online Article Text |
id | pubmed-4751974 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-47519742016-03-02 Deriving Heterospecific Self-Assembling Protein–Protein Interactions Using a Computational Interactome Screen Crooks, Richard O. Baxter, Daniel Panek, Anna S. Lubben, Anneke T. Mason, Jody M. J Mol Biol Article Interactions between naturally occurring proteins are highly specific, with protein-network imbalances associated with numerous diseases. For designed protein–protein interactions (PPIs), required specificity can be notoriously difficult to engineer. To accelerate this process, we have derived peptides that form heterospecific PPIs when combined. This is achieved using software that generates large virtual libraries of peptide sequences and searches within the resulting interactome for preferentially interacting peptides. To demonstrate feasibility, we have (i) generated 1536 peptide sequences based on the parallel dimeric coiled-coil motif and varied residues known to be important for stability and specificity, (ii) screened the 1,180,416 member interactome for predicted T(m) values and (iii) used predicted T(m) cutoff points to isolate eight peptides that form four heterospecific PPIs when combined. This required that all 32 hypothetical off-target interactions within the eight-peptide interactome be disfavoured and that the four desired interactions pair correctly. Lastly, we have verified the approach by characterising all 36 pairs within the interactome. In analysing the output, we hypothesised that several sequences are capable of adopting antiparallel orientations. We subsequently improved the software by removing sequences where doing so led to fully complementary electrostatic pairings. Our approach can be used to derive increasingly large and therefore complex sets of heterospecific PPIs with a wide range of potential downstream applications from disease modulation to the design of biomaterials and peptides in synthetic biology. Elsevier 2016-01-29 /pmc/articles/PMC4751974/ /pubmed/26655848 http://dx.doi.org/10.1016/j.jmb.2015.11.022 Text en © 2015 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Crooks, Richard O. Baxter, Daniel Panek, Anna S. Lubben, Anneke T. Mason, Jody M. Deriving Heterospecific Self-Assembling Protein–Protein Interactions Using a Computational Interactome Screen |
title | Deriving Heterospecific Self-Assembling Protein–Protein Interactions Using a Computational Interactome Screen |
title_full | Deriving Heterospecific Self-Assembling Protein–Protein Interactions Using a Computational Interactome Screen |
title_fullStr | Deriving Heterospecific Self-Assembling Protein–Protein Interactions Using a Computational Interactome Screen |
title_full_unstemmed | Deriving Heterospecific Self-Assembling Protein–Protein Interactions Using a Computational Interactome Screen |
title_short | Deriving Heterospecific Self-Assembling Protein–Protein Interactions Using a Computational Interactome Screen |
title_sort | deriving heterospecific self-assembling protein–protein interactions using a computational interactome screen |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4751974/ https://www.ncbi.nlm.nih.gov/pubmed/26655848 http://dx.doi.org/10.1016/j.jmb.2015.11.022 |
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