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TransCent: Computational enzyme design by transferring active sites and considering constraints relevant for catalysis
BACKGROUND: Computational enzyme design is far from being applicable for the general case. Due to computational complexity and limited knowledge of the structure-function interplay, heuristic methods have to be used. RESULTS: We have developed TransCent, a computational enzyme design method supporti...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2667513/ https://www.ncbi.nlm.nih.gov/pubmed/19208235 http://dx.doi.org/10.1186/1471-2105-10-54 |
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author | Fischer, André Enkler, Nils Neudert, Gerd Bocola, Marco Sterner, Reinhard Merkl, Rainer |
author_facet | Fischer, André Enkler, Nils Neudert, Gerd Bocola, Marco Sterner, Reinhard Merkl, Rainer |
author_sort | Fischer, André |
collection | PubMed |
description | BACKGROUND: Computational enzyme design is far from being applicable for the general case. Due to computational complexity and limited knowledge of the structure-function interplay, heuristic methods have to be used. RESULTS: We have developed TransCent, a computational enzyme design method supporting the transfer of active sites from one enzyme to an alternative scaffold. In an optimization process, it balances requirements originating from four constraints. These are 1) protein stability, 2) ligand binding, 3) pK(a )values of active site residues, and 4) structural features of the active site. Each constraint is handled by an individual software module. Modules processing the first three constraints are based on state-of-the-art concepts, i.e. RosettaDesign, DrugScore, and PROPKA. To account for the fourth constraint, knowledge-based potentials are utilized. The contribution of modules to the performance of TransCent was evaluated by means of a recapitulation test. The redesign of oxidoreductase cytochrome P450 was analyzed in detail. As a first application, we present and discuss models for the transfer of active sites in enzymes sharing the frequently encountered triosephosphate isomerase fold. CONCLUSION: A recapitulation test on native enzymes showed that TransCent proposes active sites that resemble the native enzyme more than those generated by RosettaDesign alone. Additional tests demonstrated that each module contributes to the overall performance in a statistically significant manner. |
format | Text |
id | pubmed-2667513 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-26675132009-04-10 TransCent: Computational enzyme design by transferring active sites and considering constraints relevant for catalysis Fischer, André Enkler, Nils Neudert, Gerd Bocola, Marco Sterner, Reinhard Merkl, Rainer BMC Bioinformatics Methodology Article BACKGROUND: Computational enzyme design is far from being applicable for the general case. Due to computational complexity and limited knowledge of the structure-function interplay, heuristic methods have to be used. RESULTS: We have developed TransCent, a computational enzyme design method supporting the transfer of active sites from one enzyme to an alternative scaffold. In an optimization process, it balances requirements originating from four constraints. These are 1) protein stability, 2) ligand binding, 3) pK(a )values of active site residues, and 4) structural features of the active site. Each constraint is handled by an individual software module. Modules processing the first three constraints are based on state-of-the-art concepts, i.e. RosettaDesign, DrugScore, and PROPKA. To account for the fourth constraint, knowledge-based potentials are utilized. The contribution of modules to the performance of TransCent was evaluated by means of a recapitulation test. The redesign of oxidoreductase cytochrome P450 was analyzed in detail. As a first application, we present and discuss models for the transfer of active sites in enzymes sharing the frequently encountered triosephosphate isomerase fold. CONCLUSION: A recapitulation test on native enzymes showed that TransCent proposes active sites that resemble the native enzyme more than those generated by RosettaDesign alone. Additional tests demonstrated that each module contributes to the overall performance in a statistically significant manner. BioMed Central 2009-02-10 /pmc/articles/PMC2667513/ /pubmed/19208235 http://dx.doi.org/10.1186/1471-2105-10-54 Text en Copyright © 2009 Fischer et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methodology Article Fischer, André Enkler, Nils Neudert, Gerd Bocola, Marco Sterner, Reinhard Merkl, Rainer TransCent: Computational enzyme design by transferring active sites and considering constraints relevant for catalysis |
title | TransCent: Computational enzyme design by transferring active sites and considering constraints relevant for catalysis |
title_full | TransCent: Computational enzyme design by transferring active sites and considering constraints relevant for catalysis |
title_fullStr | TransCent: Computational enzyme design by transferring active sites and considering constraints relevant for catalysis |
title_full_unstemmed | TransCent: Computational enzyme design by transferring active sites and considering constraints relevant for catalysis |
title_short | TransCent: Computational enzyme design by transferring active sites and considering constraints relevant for catalysis |
title_sort | transcent: computational enzyme design by transferring active sites and considering constraints relevant for catalysis |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2667513/ https://www.ncbi.nlm.nih.gov/pubmed/19208235 http://dx.doi.org/10.1186/1471-2105-10-54 |
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