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UMMS: constrained harmonic and anharmonic analyses of macromolecules based on elastic network models
UMass Morph Server (UMMS) has been developed for the broad impact on the study of molecular dynamics (MD). The elastic network model (ENM) of a given macromolecule has been proven as a useful tool for analyzing thermal behaviors locally and predicting folding pathways globally. UMMS utilizes coarse-...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2006
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1538792/ https://www.ncbi.nlm.nih.gov/pubmed/16845072 http://dx.doi.org/10.1093/nar/gkl039 |
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author | Jang, Yunho Jeong, Jay I. Kim, Moon K. |
author_facet | Jang, Yunho Jeong, Jay I. Kim, Moon K. |
author_sort | Jang, Yunho |
collection | PubMed |
description | UMass Morph Server (UMMS) has been developed for the broad impact on the study of molecular dynamics (MD). The elastic network model (ENM) of a given macromolecule has been proven as a useful tool for analyzing thermal behaviors locally and predicting folding pathways globally. UMMS utilizes coarse-grained ENMs at various levels. These simplifications remarkably save computation time compared with all-atom MD simulations so that one can bring down massive computational problems from a supercomputer to a PC. To improve computational efficiency and physical reality of ENMs, the symmetry-constrained, rigid-cluster, hybrid and chemical-bond ENMs have been developed and implemented at UMMS. One can request both harmonic normal mode analysis of a single macromolecule and anharmonic pathway generation between two conformations of a same molecule using elastic network interpolation at . |
format | Text |
id | pubmed-1538792 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-15387922006-08-18 UMMS: constrained harmonic and anharmonic analyses of macromolecules based on elastic network models Jang, Yunho Jeong, Jay I. Kim, Moon K. Nucleic Acids Res Article UMass Morph Server (UMMS) has been developed for the broad impact on the study of molecular dynamics (MD). The elastic network model (ENM) of a given macromolecule has been proven as a useful tool for analyzing thermal behaviors locally and predicting folding pathways globally. UMMS utilizes coarse-grained ENMs at various levels. These simplifications remarkably save computation time compared with all-atom MD simulations so that one can bring down massive computational problems from a supercomputer to a PC. To improve computational efficiency and physical reality of ENMs, the symmetry-constrained, rigid-cluster, hybrid and chemical-bond ENMs have been developed and implemented at UMMS. One can request both harmonic normal mode analysis of a single macromolecule and anharmonic pathway generation between two conformations of a same molecule using elastic network interpolation at . Oxford University Press 2006-07-01 2006-07-14 /pmc/articles/PMC1538792/ /pubmed/16845072 http://dx.doi.org/10.1093/nar/gkl039 Text en © The Author 2006. Published by Oxford University Press. All rights reserved |
spellingShingle | Article Jang, Yunho Jeong, Jay I. Kim, Moon K. UMMS: constrained harmonic and anharmonic analyses of macromolecules based on elastic network models |
title | UMMS: constrained harmonic and anharmonic analyses of macromolecules based on elastic network models |
title_full | UMMS: constrained harmonic and anharmonic analyses of macromolecules based on elastic network models |
title_fullStr | UMMS: constrained harmonic and anharmonic analyses of macromolecules based on elastic network models |
title_full_unstemmed | UMMS: constrained harmonic and anharmonic analyses of macromolecules based on elastic network models |
title_short | UMMS: constrained harmonic and anharmonic analyses of macromolecules based on elastic network models |
title_sort | umms: constrained harmonic and anharmonic analyses of macromolecules based on elastic network models |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1538792/ https://www.ncbi.nlm.nih.gov/pubmed/16845072 http://dx.doi.org/10.1093/nar/gkl039 |
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