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Residue proximity information and protein model discrimination using saturation-suppressor mutagenesis

Identification of residue-residue contacts from primary sequence can be used to guide protein structure prediction. Using Escherichia coli CcdB as the test case, we describe an experimental method termed saturation-suppressor mutagenesis to acquire residue contact information. In this methodology, f...

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Autores principales: Sahoo, Anusmita, Khare, Shruti, Devanarayanan, Sivasankar, Jain, Pankaj C., Varadarajan, Raghavan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4758949/
https://www.ncbi.nlm.nih.gov/pubmed/26716404
http://dx.doi.org/10.7554/eLife.09532
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author Sahoo, Anusmita
Khare, Shruti
Devanarayanan, Sivasankar
Jain, Pankaj C.
Varadarajan, Raghavan
author_facet Sahoo, Anusmita
Khare, Shruti
Devanarayanan, Sivasankar
Jain, Pankaj C.
Varadarajan, Raghavan
author_sort Sahoo, Anusmita
collection PubMed
description Identification of residue-residue contacts from primary sequence can be used to guide protein structure prediction. Using Escherichia coli CcdB as the test case, we describe an experimental method termed saturation-suppressor mutagenesis to acquire residue contact information. In this methodology, for each of five inactive CcdB mutants, exhaustive screens for suppressors were performed. Proximal suppressors were accurately discriminated from distal suppressors based on their phenotypes when present as single mutants. Experimentally identified putative proximal pairs formed spatial constraints to recover >98% of native-like models of CcdB from a decoy dataset. Suppressor methodology was also applied to the integral membrane protein, diacylglycerol kinase A where the structures determined by X-ray crystallography and NMR were significantly different. Suppressor as well as sequence co-variation data clearly point to the X-ray structure being the functional one adopted in vivo. The methodology is applicable to any macromolecular system for which a convenient phenotypic assay exists. DOI: http://dx.doi.org/10.7554/eLife.09532.001
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spelling pubmed-47589492016-02-22 Residue proximity information and protein model discrimination using saturation-suppressor mutagenesis Sahoo, Anusmita Khare, Shruti Devanarayanan, Sivasankar Jain, Pankaj C. Varadarajan, Raghavan eLife Biophysics and Structural Biology Identification of residue-residue contacts from primary sequence can be used to guide protein structure prediction. Using Escherichia coli CcdB as the test case, we describe an experimental method termed saturation-suppressor mutagenesis to acquire residue contact information. In this methodology, for each of five inactive CcdB mutants, exhaustive screens for suppressors were performed. Proximal suppressors were accurately discriminated from distal suppressors based on their phenotypes when present as single mutants. Experimentally identified putative proximal pairs formed spatial constraints to recover >98% of native-like models of CcdB from a decoy dataset. Suppressor methodology was also applied to the integral membrane protein, diacylglycerol kinase A where the structures determined by X-ray crystallography and NMR were significantly different. Suppressor as well as sequence co-variation data clearly point to the X-ray structure being the functional one adopted in vivo. The methodology is applicable to any macromolecular system for which a convenient phenotypic assay exists. DOI: http://dx.doi.org/10.7554/eLife.09532.001 eLife Sciences Publications, Ltd 2015-12-30 /pmc/articles/PMC4758949/ /pubmed/26716404 http://dx.doi.org/10.7554/eLife.09532 Text en © 2015, Sahoo et al 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 Biophysics and Structural Biology
Sahoo, Anusmita
Khare, Shruti
Devanarayanan, Sivasankar
Jain, Pankaj C.
Varadarajan, Raghavan
Residue proximity information and protein model discrimination using saturation-suppressor mutagenesis
title Residue proximity information and protein model discrimination using saturation-suppressor mutagenesis
title_full Residue proximity information and protein model discrimination using saturation-suppressor mutagenesis
title_fullStr Residue proximity information and protein model discrimination using saturation-suppressor mutagenesis
title_full_unstemmed Residue proximity information and protein model discrimination using saturation-suppressor mutagenesis
title_short Residue proximity information and protein model discrimination using saturation-suppressor mutagenesis
title_sort residue proximity information and protein model discrimination using saturation-suppressor mutagenesis
topic Biophysics and Structural Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4758949/
https://www.ncbi.nlm.nih.gov/pubmed/26716404
http://dx.doi.org/10.7554/eLife.09532
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