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ProtaBank: A repository for protein design and engineering data
We present ProtaBank, a repository for storing, querying, analyzing, and sharing protein design and engineering data in an actively maintained and updated database. ProtaBank provides a format to describe and compare all types of protein mutational data, spanning a wide range of properties and techn...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5980626/ https://www.ncbi.nlm.nih.gov/pubmed/29575358 http://dx.doi.org/10.1002/pro.3406 |
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author | Wang, Connie Y. Chang, Paul M. Ary, Marie L. Allen, Benjamin D. Chica, Roberto A. Mayo, Stephen L. Olafson, Barry D. |
author_facet | Wang, Connie Y. Chang, Paul M. Ary, Marie L. Allen, Benjamin D. Chica, Roberto A. Mayo, Stephen L. Olafson, Barry D. |
author_sort | Wang, Connie Y. |
collection | PubMed |
description | We present ProtaBank, a repository for storing, querying, analyzing, and sharing protein design and engineering data in an actively maintained and updated database. ProtaBank provides a format to describe and compare all types of protein mutational data, spanning a wide range of properties and techniques. It features a user‐friendly web interface and programming layer that streamlines data deposition and allows for batch input and queries. The database schema design incorporates a standard format for reporting protein sequences and experimental data that facilitates comparison of results across different data sets. A suite of analysis and visualization tools are provided to facilitate discovery, to guide future designs, and to benchmark and train new predictive tools and algorithms. ProtaBank will provide a valuable resource to the protein engineering community by storing and safeguarding newly generated data, allowing for fast searching and identification of relevant data from the existing literature, and exploring correlations between disparate data sets. ProtaBank invites researchers to contribute data to the database to make it accessible for search and analysis. ProtaBank is available at https://protabank.org. |
format | Online Article Text |
id | pubmed-5980626 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-59806262018-06-06 ProtaBank: A repository for protein design and engineering data Wang, Connie Y. Chang, Paul M. Ary, Marie L. Allen, Benjamin D. Chica, Roberto A. Mayo, Stephen L. Olafson, Barry D. Protein Sci Tools for Protein Science We present ProtaBank, a repository for storing, querying, analyzing, and sharing protein design and engineering data in an actively maintained and updated database. ProtaBank provides a format to describe and compare all types of protein mutational data, spanning a wide range of properties and techniques. It features a user‐friendly web interface and programming layer that streamlines data deposition and allows for batch input and queries. The database schema design incorporates a standard format for reporting protein sequences and experimental data that facilitates comparison of results across different data sets. A suite of analysis and visualization tools are provided to facilitate discovery, to guide future designs, and to benchmark and train new predictive tools and algorithms. ProtaBank will provide a valuable resource to the protein engineering community by storing and safeguarding newly generated data, allowing for fast searching and identification of relevant data from the existing literature, and exploring correlations between disparate data sets. ProtaBank invites researchers to contribute data to the database to make it accessible for search and analysis. ProtaBank is available at https://protabank.org. John Wiley and Sons Inc. 2018-04-30 2018-06 /pmc/articles/PMC5980626/ /pubmed/29575358 http://dx.doi.org/10.1002/pro.3406 Text en © 2018 The Authors Protein Science published by Wiley Periodicals, Inc. on behalf of The Protein Society This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Tools for Protein Science Wang, Connie Y. Chang, Paul M. Ary, Marie L. Allen, Benjamin D. Chica, Roberto A. Mayo, Stephen L. Olafson, Barry D. ProtaBank: A repository for protein design and engineering data |
title | ProtaBank: A repository for protein design and engineering data |
title_full | ProtaBank: A repository for protein design and engineering data |
title_fullStr | ProtaBank: A repository for protein design and engineering data |
title_full_unstemmed | ProtaBank: A repository for protein design and engineering data |
title_short | ProtaBank: A repository for protein design and engineering data |
title_sort | protabank: a repository for protein design and engineering data |
topic | Tools for Protein Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5980626/ https://www.ncbi.nlm.nih.gov/pubmed/29575358 http://dx.doi.org/10.1002/pro.3406 |
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