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POPSCOMP: an automated interaction analysis of biomolecular complexes
Large-scale analysis of biomolecular complexes reveals the functional network within the cell. Computational methods are required to extract the essential information from the available data. The POPSCOMP server is designed to calculate the interaction surface between all components of a given compl...
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Formato: | Texto |
Lenguaje: | English |
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Oxford University Press
2005
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1160130/ https://www.ncbi.nlm.nih.gov/pubmed/15980485 http://dx.doi.org/10.1093/nar/gki369 |
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author | Kleinjung, Jens Fraternali, Franca |
author_facet | Kleinjung, Jens Fraternali, Franca |
author_sort | Kleinjung, Jens |
collection | PubMed |
description | Large-scale analysis of biomolecular complexes reveals the functional network within the cell. Computational methods are required to extract the essential information from the available data. The POPSCOMP server is designed to calculate the interaction surface between all components of a given complex structure consisting of proteins, DNA or RNA molecules. The server returns matrices and graphs of surface area burial that can be used to automatically annotate components and residues that are involved in complex formation, to pinpoint conformational changes and to estimate molecular interaction energies. The analysis can be performed on a per-atom level or alternatively on a per-residue level for low-resolution structures. Here, we present an analysis of ribosomal structures in complex with various antibiotics to exemplify the potential and limitations of automated complex analysis. The POPSCOMP server is accessible at . |
format | Text |
id | pubmed-1160130 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-11601302005-06-29 POPSCOMP: an automated interaction analysis of biomolecular complexes Kleinjung, Jens Fraternali, Franca Nucleic Acids Res Article Large-scale analysis of biomolecular complexes reveals the functional network within the cell. Computational methods are required to extract the essential information from the available data. The POPSCOMP server is designed to calculate the interaction surface between all components of a given complex structure consisting of proteins, DNA or RNA molecules. The server returns matrices and graphs of surface area burial that can be used to automatically annotate components and residues that are involved in complex formation, to pinpoint conformational changes and to estimate molecular interaction energies. The analysis can be performed on a per-atom level or alternatively on a per-residue level for low-resolution structures. Here, we present an analysis of ribosomal structures in complex with various antibiotics to exemplify the potential and limitations of automated complex analysis. The POPSCOMP server is accessible at . Oxford University Press 2005-07-01 2005-06-27 /pmc/articles/PMC1160130/ /pubmed/15980485 http://dx.doi.org/10.1093/nar/gki369 Text en © The Author 2005. Published by Oxford University Press. All rights reserved |
spellingShingle | Article Kleinjung, Jens Fraternali, Franca POPSCOMP: an automated interaction analysis of biomolecular complexes |
title | POPSCOMP: an automated interaction analysis of biomolecular complexes |
title_full | POPSCOMP: an automated interaction analysis of biomolecular complexes |
title_fullStr | POPSCOMP: an automated interaction analysis of biomolecular complexes |
title_full_unstemmed | POPSCOMP: an automated interaction analysis of biomolecular complexes |
title_short | POPSCOMP: an automated interaction analysis of biomolecular complexes |
title_sort | popscomp: an automated interaction analysis of biomolecular complexes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1160130/ https://www.ncbi.nlm.nih.gov/pubmed/15980485 http://dx.doi.org/10.1093/nar/gki369 |
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