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FTMAP: extended protein mapping with user-selected probe molecules
Binding hot spots, protein sites with high-binding affinity, can be identified using X-ray crystallography or NMR by screening libraries of small organic molecules that tend to cluster at such regions. FTMAP, a direct computational analog of the experimental screening approaches, globally samples th...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394268/ https://www.ncbi.nlm.nih.gov/pubmed/22589414 http://dx.doi.org/10.1093/nar/gks441 |
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author | Ngan, Chi Ho Bohnuud, Tanggis Mottarella, Scott E. Beglov, Dmitri Villar, Elizabeth A. Hall, David R. Kozakov, Dima Vajda, Sandor |
author_facet | Ngan, Chi Ho Bohnuud, Tanggis Mottarella, Scott E. Beglov, Dmitri Villar, Elizabeth A. Hall, David R. Kozakov, Dima Vajda, Sandor |
author_sort | Ngan, Chi Ho |
collection | PubMed |
description | Binding hot spots, protein sites with high-binding affinity, can be identified using X-ray crystallography or NMR by screening libraries of small organic molecules that tend to cluster at such regions. FTMAP, a direct computational analog of the experimental screening approaches, globally samples the surface of a target protein using small organic molecules as probes, finds favorable positions, clusters the conformations and ranks the clusters on the basis of the average energy. The regions that bind several probe clusters predict the binding hot spots, in good agreement with experimental results. Small molecules discovered by fragment-based approaches to drug design also bind at the hot spot regions. To identify such molecules and their most likely bound positions, we extend the functionality of FTMAP (http://ftmap.bu.edu/param) to accept any small molecule as an additional probe. In its updated form, FTMAP identifies the hot spots based on a standard set of probes, and for each additional probe shows representative structures of nearby low energy clusters. This approach helps to predict bound poses of the user-selected molecules, detects if a compound is not likely to bind in the hot spot region, and provides input for the design of larger ligands. |
format | Online Article Text |
id | pubmed-3394268 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-33942682012-07-30 FTMAP: extended protein mapping with user-selected probe molecules Ngan, Chi Ho Bohnuud, Tanggis Mottarella, Scott E. Beglov, Dmitri Villar, Elizabeth A. Hall, David R. Kozakov, Dima Vajda, Sandor Nucleic Acids Res Articles Binding hot spots, protein sites with high-binding affinity, can be identified using X-ray crystallography or NMR by screening libraries of small organic molecules that tend to cluster at such regions. FTMAP, a direct computational analog of the experimental screening approaches, globally samples the surface of a target protein using small organic molecules as probes, finds favorable positions, clusters the conformations and ranks the clusters on the basis of the average energy. The regions that bind several probe clusters predict the binding hot spots, in good agreement with experimental results. Small molecules discovered by fragment-based approaches to drug design also bind at the hot spot regions. To identify such molecules and their most likely bound positions, we extend the functionality of FTMAP (http://ftmap.bu.edu/param) to accept any small molecule as an additional probe. In its updated form, FTMAP identifies the hot spots based on a standard set of probes, and for each additional probe shows representative structures of nearby low energy clusters. This approach helps to predict bound poses of the user-selected molecules, detects if a compound is not likely to bind in the hot spot region, and provides input for the design of larger ligands. Oxford University Press 2012-07 2012-06-12 /pmc/articles/PMC3394268/ /pubmed/22589414 http://dx.doi.org/10.1093/nar/gks441 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Ngan, Chi Ho Bohnuud, Tanggis Mottarella, Scott E. Beglov, Dmitri Villar, Elizabeth A. Hall, David R. Kozakov, Dima Vajda, Sandor FTMAP: extended protein mapping with user-selected probe molecules |
title | FTMAP: extended protein mapping with user-selected probe molecules |
title_full | FTMAP: extended protein mapping with user-selected probe molecules |
title_fullStr | FTMAP: extended protein mapping with user-selected probe molecules |
title_full_unstemmed | FTMAP: extended protein mapping with user-selected probe molecules |
title_short | FTMAP: extended protein mapping with user-selected probe molecules |
title_sort | ftmap: extended protein mapping with user-selected probe molecules |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394268/ https://www.ncbi.nlm.nih.gov/pubmed/22589414 http://dx.doi.org/10.1093/nar/gks441 |
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