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GRAMM-X public web server for protein–protein docking
Protein docking software GRAMM-X and its web interface () extend the original GRAMM Fast Fourier Transformation methodology by employing smoothed potentials, refinement stage, and knowledge-based scoring. The web server frees users from complex installation of database-dependent parallel software an...
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/PMC1538913/ https://www.ncbi.nlm.nih.gov/pubmed/16845016 http://dx.doi.org/10.1093/nar/gkl206 |
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author | Tovchigrechko, Andrey Vakser, Ilya A. |
author_facet | Tovchigrechko, Andrey Vakser, Ilya A. |
author_sort | Tovchigrechko, Andrey |
collection | PubMed |
description | Protein docking software GRAMM-X and its web interface () extend the original GRAMM Fast Fourier Transformation methodology by employing smoothed potentials, refinement stage, and knowledge-based scoring. The web server frees users from complex installation of database-dependent parallel software and maintaining large hardware resources needed for protein docking simulations. Docking problems submitted to GRAMM-X server are processed by a 320 processor Linux cluster. The server was extensively tested by benchmarking, several months of public use, and participation in the CAPRI server track. |
format | Text |
id | pubmed-1538913 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-15389132006-08-18 GRAMM-X public web server for protein–protein docking Tovchigrechko, Andrey Vakser, Ilya A. Nucleic Acids Res Article Protein docking software GRAMM-X and its web interface () extend the original GRAMM Fast Fourier Transformation methodology by employing smoothed potentials, refinement stage, and knowledge-based scoring. The web server frees users from complex installation of database-dependent parallel software and maintaining large hardware resources needed for protein docking simulations. Docking problems submitted to GRAMM-X server are processed by a 320 processor Linux cluster. The server was extensively tested by benchmarking, several months of public use, and participation in the CAPRI server track. Oxford University Press 2006-07-01 2006-07-14 /pmc/articles/PMC1538913/ /pubmed/16845016 http://dx.doi.org/10.1093/nar/gkl206 Text en © The Author 2006. Published by Oxford University Press. All rights reserved |
spellingShingle | Article Tovchigrechko, Andrey Vakser, Ilya A. GRAMM-X public web server for protein–protein docking |
title | GRAMM-X public web server for protein–protein docking |
title_full | GRAMM-X public web server for protein–protein docking |
title_fullStr | GRAMM-X public web server for protein–protein docking |
title_full_unstemmed | GRAMM-X public web server for protein–protein docking |
title_short | GRAMM-X public web server for protein–protein docking |
title_sort | gramm-x public web server for protein–protein docking |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1538913/ https://www.ncbi.nlm.nih.gov/pubmed/16845016 http://dx.doi.org/10.1093/nar/gkl206 |
work_keys_str_mv | AT tovchigrechkoandrey grammxpublicwebserverforproteinproteindocking AT vakserilyaa grammxpublicwebserverforproteinproteindocking |