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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...

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Autores principales: Ngan, Chi Ho, Bohnuud, Tanggis, Mottarella, Scott E., Beglov, Dmitri, Villar, Elizabeth A., Hall, David R., Kozakov, Dima, Vajda, Sandor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
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.
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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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