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Computer-Aided Protein Directed Evolution: a Review of Web Servers, Databases and other Computational Tools for Protein Engineering

The combination of computational and directed evolution methods has proven a winning strategy for protein engineering. We refer to this approach as computer-aided protein directed evolution (CAPDE) and the review summarizes the recent developments in this rapidly growing field. We will restrict ours...

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Detalles Bibliográficos
Autores principales: Verma, Rajni, Schwaneberg, Ulrich, Roccatano, Danilo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology (RNCSB) Organization 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3962222/
https://www.ncbi.nlm.nih.gov/pubmed/24688649
http://dx.doi.org/10.5936/csbj.201209008
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author Verma, Rajni
Schwaneberg, Ulrich
Roccatano, Danilo
author_facet Verma, Rajni
Schwaneberg, Ulrich
Roccatano, Danilo
author_sort Verma, Rajni
collection PubMed
description The combination of computational and directed evolution methods has proven a winning strategy for protein engineering. We refer to this approach as computer-aided protein directed evolution (CAPDE) and the review summarizes the recent developments in this rapidly growing field. We will restrict ourselves to overview the availability, usability and limitations of web servers, databases and other computational tools proposed in the last five years. The goal of this review is to provide concise information about currently available computational resources to assist the design of directed evolution based protein engineering experiment.
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spelling pubmed-39622222014-03-31 Computer-Aided Protein Directed Evolution: a Review of Web Servers, Databases and other Computational Tools for Protein Engineering Verma, Rajni Schwaneberg, Ulrich Roccatano, Danilo Comput Struct Biotechnol J Mini Review The combination of computational and directed evolution methods has proven a winning strategy for protein engineering. We refer to this approach as computer-aided protein directed evolution (CAPDE) and the review summarizes the recent developments in this rapidly growing field. We will restrict ourselves to overview the availability, usability and limitations of web servers, databases and other computational tools proposed in the last five years. The goal of this review is to provide concise information about currently available computational resources to assist the design of directed evolution based protein engineering experiment. Research Network of Computational and Structural Biotechnology (RNCSB) Organization 2012-10-22 /pmc/articles/PMC3962222/ /pubmed/24688649 http://dx.doi.org/10.5936/csbj.201209008 Text en © Verma et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly cited.
spellingShingle Mini Review
Verma, Rajni
Schwaneberg, Ulrich
Roccatano, Danilo
Computer-Aided Protein Directed Evolution: a Review of Web Servers, Databases and other Computational Tools for Protein Engineering
title Computer-Aided Protein Directed Evolution: a Review of Web Servers, Databases and other Computational Tools for Protein Engineering
title_full Computer-Aided Protein Directed Evolution: a Review of Web Servers, Databases and other Computational Tools for Protein Engineering
title_fullStr Computer-Aided Protein Directed Evolution: a Review of Web Servers, Databases and other Computational Tools for Protein Engineering
title_full_unstemmed Computer-Aided Protein Directed Evolution: a Review of Web Servers, Databases and other Computational Tools for Protein Engineering
title_short Computer-Aided Protein Directed Evolution: a Review of Web Servers, Databases and other Computational Tools for Protein Engineering
title_sort computer-aided protein directed evolution: a review of web servers, databases and other computational tools for protein engineering
topic Mini Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3962222/
https://www.ncbi.nlm.nih.gov/pubmed/24688649
http://dx.doi.org/10.5936/csbj.201209008
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