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Specificity in Computational Protein Design
A long-standing goal of computational protein design is to create proteins similar to those found in Nature. One motivation is to harness the exquisite functional capabilities of proteins for our own purposes. The extent of similarity between designed and natural proteins also reports on how faithfu...
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Formato: | Texto |
Lenguaje: | English |
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American Society for Biochemistry and Molecular Biology
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2951182/ https://www.ncbi.nlm.nih.gov/pubmed/20670934 http://dx.doi.org/10.1074/jbc.R110.157685 |
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author | Havranek, James J. |
author_facet | Havranek, James J. |
author_sort | Havranek, James J. |
collection | PubMed |
description | A long-standing goal of computational protein design is to create proteins similar to those found in Nature. One motivation is to harness the exquisite functional capabilities of proteins for our own purposes. The extent of similarity between designed and natural proteins also reports on how faithfully our models represent the selective pressures that determine protein sequences. As the field of protein design shifts emphasis from reproducing native-like protein structure to function, it has become important that these models treat the notion of specificity in molecular interactions. Although specificity may, in some cases, be achieved by optimization of a desired protein in isolation, methods have been developed to address directly the desire for proteins that exhibit specific functions and interactions. |
format | Text |
id | pubmed-2951182 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | American Society for Biochemistry and Molecular Biology |
record_format | MEDLINE/PubMed |
spelling | pubmed-29511822010-10-14 Specificity in Computational Protein Design Havranek, James J. J Biol Chem Minireviews A long-standing goal of computational protein design is to create proteins similar to those found in Nature. One motivation is to harness the exquisite functional capabilities of proteins for our own purposes. The extent of similarity between designed and natural proteins also reports on how faithfully our models represent the selective pressures that determine protein sequences. As the field of protein design shifts emphasis from reproducing native-like protein structure to function, it has become important that these models treat the notion of specificity in molecular interactions. Although specificity may, in some cases, be achieved by optimization of a desired protein in isolation, methods have been developed to address directly the desire for proteins that exhibit specific functions and interactions. American Society for Biochemistry and Molecular Biology 2010-10-08 2010-07-29 /pmc/articles/PMC2951182/ /pubmed/20670934 http://dx.doi.org/10.1074/jbc.R110.157685 Text en © 2010 by The American Society for Biochemistry and Molecular Biology, Inc. Author's Choice—Final version full access. Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) applies to Author Choice Articles |
spellingShingle | Minireviews Havranek, James J. Specificity in Computational Protein Design |
title | Specificity in Computational Protein Design |
title_full | Specificity in Computational Protein Design |
title_fullStr | Specificity in Computational Protein Design |
title_full_unstemmed | Specificity in Computational Protein Design |
title_short | Specificity in Computational Protein Design |
title_sort | specificity in computational protein design |
topic | Minireviews |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2951182/ https://www.ncbi.nlm.nih.gov/pubmed/20670934 http://dx.doi.org/10.1074/jbc.R110.157685 |
work_keys_str_mv | AT havranekjamesj specificityincomputationalproteindesign |