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Uncovering the basis of protein-protein interaction specificity with a combinatorially complete library
Protein-protein interaction specificity is often encoded at the primary sequence level. However, the contributions of individual residues to specificity are usually poorly understood and often obscured by mutational robustness, sequence degeneracy, and epistasis. Using bacterial toxin-antitoxin syst...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7669267/ https://www.ncbi.nlm.nih.gov/pubmed/33107822 http://dx.doi.org/10.7554/eLife.60924 |
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author | Lite, Thuy-Lan V Grant, Robert A Nocedal, Isabel Littlehale, Megan L Guo, Monica S Laub, Michael T |
author_facet | Lite, Thuy-Lan V Grant, Robert A Nocedal, Isabel Littlehale, Megan L Guo, Monica S Laub, Michael T |
author_sort | Lite, Thuy-Lan V |
collection | PubMed |
description | Protein-protein interaction specificity is often encoded at the primary sequence level. However, the contributions of individual residues to specificity are usually poorly understood and often obscured by mutational robustness, sequence degeneracy, and epistasis. Using bacterial toxin-antitoxin systems as a model, we screened a combinatorially complete library of antitoxin variants at three key positions against two toxins. This library enabled us to measure the effect of individual substitutions on specificity in hundreds of genetic backgrounds. These distributions allow inferences about the general nature of interface residues in promoting specificity. We find that positive and negative contributions to specificity are neither inherently coupled nor mutually exclusive. Further, a wild-type antitoxin appears optimized for specificity as no substitutions improve discrimination between cognate and non-cognate partners. By comparing crystal structures of paralogous complexes, we provide a rationale for our observations. Collectively, this work provides a generalizable approach to understanding the logic of molecular recognition. |
format | Online Article Text |
id | pubmed-7669267 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-76692672020-11-18 Uncovering the basis of protein-protein interaction specificity with a combinatorially complete library Lite, Thuy-Lan V Grant, Robert A Nocedal, Isabel Littlehale, Megan L Guo, Monica S Laub, Michael T eLife Biochemistry and Chemical Biology Protein-protein interaction specificity is often encoded at the primary sequence level. However, the contributions of individual residues to specificity are usually poorly understood and often obscured by mutational robustness, sequence degeneracy, and epistasis. Using bacterial toxin-antitoxin systems as a model, we screened a combinatorially complete library of antitoxin variants at three key positions against two toxins. This library enabled us to measure the effect of individual substitutions on specificity in hundreds of genetic backgrounds. These distributions allow inferences about the general nature of interface residues in promoting specificity. We find that positive and negative contributions to specificity are neither inherently coupled nor mutually exclusive. Further, a wild-type antitoxin appears optimized for specificity as no substitutions improve discrimination between cognate and non-cognate partners. By comparing crystal structures of paralogous complexes, we provide a rationale for our observations. Collectively, this work provides a generalizable approach to understanding the logic of molecular recognition. eLife Sciences Publications, Ltd 2020-10-27 /pmc/articles/PMC7669267/ /pubmed/33107822 http://dx.doi.org/10.7554/eLife.60924 Text en © 2020, Lite et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Biochemistry and Chemical Biology Lite, Thuy-Lan V Grant, Robert A Nocedal, Isabel Littlehale, Megan L Guo, Monica S Laub, Michael T Uncovering the basis of protein-protein interaction specificity with a combinatorially complete library |
title | Uncovering the basis of protein-protein interaction specificity with a combinatorially complete library |
title_full | Uncovering the basis of protein-protein interaction specificity with a combinatorially complete library |
title_fullStr | Uncovering the basis of protein-protein interaction specificity with a combinatorially complete library |
title_full_unstemmed | Uncovering the basis of protein-protein interaction specificity with a combinatorially complete library |
title_short | Uncovering the basis of protein-protein interaction specificity with a combinatorially complete library |
title_sort | uncovering the basis of protein-protein interaction specificity with a combinatorially complete library |
topic | Biochemistry and Chemical Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7669267/ https://www.ncbi.nlm.nih.gov/pubmed/33107822 http://dx.doi.org/10.7554/eLife.60924 |
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