Energy minimizations with a combination of two knowledge‐based potentials for protein folding
| dc.contributor.author | de Sancho, David | |
| dc.contributor.author | Rey Gayo, Antonio | |
| dc.date.accessioned | 2024-01-11T18:09:01Z | |
| dc.date.available | 2024-01-11T18:09:01Z | |
| dc.date.issued | 2008 | |
| dc.description.abstract | New force fields that are both simple and accurate are needed for computationally efficient molecular simulation studies to give insight into the actual features of the protein folding process. In this work, we assess a force field based on a new combination of two coarse‐grained potentials taken from the bibliography. These potentials have already been proved efficient in representing different types of interactions, namely the side‐chain interactions and the backbone hydrogen bonds. Now we combine them weighing their contribution to the global energy with a very simplified parameterization. To assess this combination of potentials, we use our evolutionary method to carry out energy minimization experiments for a set of all‐α, all‐β, and (α + β) protein structures. Our results, based on the assembly of short rigid native fragments, suggest that this combination of potentials can be successfully employed in coarse‐grained folding simulations. | |
| dc.description.department | Depto. de Química Física | |
| dc.description.faculty | Fac. de Ciencias Químicas | |
| dc.description.refereed | TRUE | |
| dc.description.sponsorship | Ministerio de Educación y Ciencia (España) | |
| dc.description.sponsorship | Comunidad Autónoma de Madrid | |
| dc.description.sponsorship | Universidad Complutense de Madrid | |
| dc.description.status | pub | |
| dc.identifier.citation | de Sancho, D. and Rey, A. (2008), Energy minimizations with a combination of two knowledge-based potentials for protein folding. J. Comput. Chem., 29: 1684-1692. | |
| dc.identifier.doi | 10.1002/jcc.20924 | |
| dc.identifier.essn | 1096-987X | |
| dc.identifier.issn | 0192-8651 | |
| dc.identifier.officialurl | https://doi.org/10.1002/jcc.20924 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14352/92634 | |
| dc.issue.number | 10 | |
| dc.journal.title | Journal of Computational Chemistry | |
| dc.language.iso | eng | |
| dc.page.final | 1692 | |
| dc.page.initial | 1684 | |
| dc.publisher | Wiley Periodicals, Inc. | |
| dc.relation.projectID | FIS2006-12781-C02-02 | |
| dc.relation.projectID | Group 910068 (UCM) | |
| dc.rights.accessRights | restricted access | |
| dc.subject.cdu | 544 | |
| dc.subject.keyword | Protein structure | |
| dc.subject.keyword | Molecular modeling | |
| dc.subject.keyword | Coarse-grained models | |
| dc.subject.keyword | Genetic algorithms | |
| dc.subject.ucm | Química física (Química) | |
| dc.subject.unesco | 2307 Química Física | |
| dc.subject.unesco | 2302.26 Bioquímica Física | |
| dc.title | Energy minimizations with a combination of two knowledge‐based potentials for protein folding | |
| dc.type | journal article | |
| dc.type.hasVersion | VoR | |
| dc.volume.number | 29 | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 3e7ce7c0-ea8f-4925-a9ba-296dbba0643c | |
| relation.isAuthorOfPublication.latestForDiscovery | 3e7ce7c0-ea8f-4925-a9ba-296dbba0643c |
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