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Rational Protein Engineering Guided by Deep Mutational Scanning

Sequence–function relationship in a protein is commonly determined by the three-dimensional protein structure followed by various biochemical experiments. However, with the explosive increase in the number of genome sequences, facilitated by recent advances in sequencing technology, the gap between...

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Detalles Bibliográficos
Autores principales: Shin, HyeonSeok, Cho, Byung-Kwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4613353/
https://www.ncbi.nlm.nih.gov/pubmed/26404267
http://dx.doi.org/10.3390/ijms160923094
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author Shin, HyeonSeok
Cho, Byung-Kwan
author_facet Shin, HyeonSeok
Cho, Byung-Kwan
author_sort Shin, HyeonSeok
collection PubMed
description Sequence–function relationship in a protein is commonly determined by the three-dimensional protein structure followed by various biochemical experiments. However, with the explosive increase in the number of genome sequences, facilitated by recent advances in sequencing technology, the gap between protein sequences available and three-dimensional structures is rapidly widening. A recently developed method termed deep mutational scanning explores the functional phenotype of thousands of mutants via massive sequencing. Coupled with a highly efficient screening system, this approach assesses the phenotypic changes made by the substitution of each amino acid sequence that constitutes a protein. Such an informational resource provides the functional role of each amino acid sequence, thereby providing sufficient rationale for selecting target residues for protein engineering. Here, we discuss the current applications of deep mutational scanning and consider experimental design.
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spelling pubmed-46133532015-10-26 Rational Protein Engineering Guided by Deep Mutational Scanning Shin, HyeonSeok Cho, Byung-Kwan Int J Mol Sci Review Sequence–function relationship in a protein is commonly determined by the three-dimensional protein structure followed by various biochemical experiments. However, with the explosive increase in the number of genome sequences, facilitated by recent advances in sequencing technology, the gap between protein sequences available and three-dimensional structures is rapidly widening. A recently developed method termed deep mutational scanning explores the functional phenotype of thousands of mutants via massive sequencing. Coupled with a highly efficient screening system, this approach assesses the phenotypic changes made by the substitution of each amino acid sequence that constitutes a protein. Such an informational resource provides the functional role of each amino acid sequence, thereby providing sufficient rationale for selecting target residues for protein engineering. Here, we discuss the current applications of deep mutational scanning and consider experimental design. MDPI 2015-09-23 /pmc/articles/PMC4613353/ /pubmed/26404267 http://dx.doi.org/10.3390/ijms160923094 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Shin, HyeonSeok
Cho, Byung-Kwan
Rational Protein Engineering Guided by Deep Mutational Scanning
title Rational Protein Engineering Guided by Deep Mutational Scanning
title_full Rational Protein Engineering Guided by Deep Mutational Scanning
title_fullStr Rational Protein Engineering Guided by Deep Mutational Scanning
title_full_unstemmed Rational Protein Engineering Guided by Deep Mutational Scanning
title_short Rational Protein Engineering Guided by Deep Mutational Scanning
title_sort rational protein engineering guided by deep mutational scanning
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4613353/
https://www.ncbi.nlm.nih.gov/pubmed/26404267
http://dx.doi.org/10.3390/ijms160923094
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