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e-LEA3D: a computational-aided drug design web server
e-LEA3D web server integrates three complementary tools to perform computer-aided drug design based on molecular fragments. In drug discovery projects, there is a considerable interest in identifying novel and diverse molecular scaffolds to enhance chances of success. The de novo drug design tool is...
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Formato: | Texto |
Lenguaje: | English |
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Oxford University Press
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896156/ https://www.ncbi.nlm.nih.gov/pubmed/20444867 http://dx.doi.org/10.1093/nar/gkq322 |
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author | Douguet, Dominique |
author_facet | Douguet, Dominique |
author_sort | Douguet, Dominique |
collection | PubMed |
description | e-LEA3D web server integrates three complementary tools to perform computer-aided drug design based on molecular fragments. In drug discovery projects, there is a considerable interest in identifying novel and diverse molecular scaffolds to enhance chances of success. The de novo drug design tool is used to invent new ligands to optimize a user-specified scoring function. The composite scoring function includes both structure- and ligand-based evaluations. The de novo approach is an alternative to a blind virtual screening of large compound collections. A heuristic based on a genetic algorithm rapidly finds which fragments or combination of fragments fit a QSAR model or the binding site of a protein. While the approach is ideally suited for scaffold-hopping, this module also allows a scan for possible substituents to a user-specified scaffold. The second tool offers a traditional virtual screening and filtering of an uploaded library of compounds. The third module addresses the combinatorial library design that is based on a user-drawn scaffold and reactants coming, for example, from a chemical supplier. The e-LEA3D server is available at: http://bioinfo.ipmc.cnrs.fr/lea.html. |
format | Text |
id | pubmed-2896156 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-28961562010-07-02 e-LEA3D: a computational-aided drug design web server Douguet, Dominique Nucleic Acids Res Articles e-LEA3D web server integrates three complementary tools to perform computer-aided drug design based on molecular fragments. In drug discovery projects, there is a considerable interest in identifying novel and diverse molecular scaffolds to enhance chances of success. The de novo drug design tool is used to invent new ligands to optimize a user-specified scoring function. The composite scoring function includes both structure- and ligand-based evaluations. The de novo approach is an alternative to a blind virtual screening of large compound collections. A heuristic based on a genetic algorithm rapidly finds which fragments or combination of fragments fit a QSAR model or the binding site of a protein. While the approach is ideally suited for scaffold-hopping, this module also allows a scan for possible substituents to a user-specified scaffold. The second tool offers a traditional virtual screening and filtering of an uploaded library of compounds. The third module addresses the combinatorial library design that is based on a user-drawn scaffold and reactants coming, for example, from a chemical supplier. The e-LEA3D server is available at: http://bioinfo.ipmc.cnrs.fr/lea.html. Oxford University Press 2010-07-01 2010-05-05 /pmc/articles/PMC2896156/ /pubmed/20444867 http://dx.doi.org/10.1093/nar/gkq322 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Douguet, Dominique e-LEA3D: a computational-aided drug design web server |
title | e-LEA3D: a computational-aided drug design web server |
title_full | e-LEA3D: a computational-aided drug design web server |
title_fullStr | e-LEA3D: a computational-aided drug design web server |
title_full_unstemmed | e-LEA3D: a computational-aided drug design web server |
title_short | e-LEA3D: a computational-aided drug design web server |
title_sort | e-lea3d: a computational-aided drug design web server |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896156/ https://www.ncbi.nlm.nih.gov/pubmed/20444867 http://dx.doi.org/10.1093/nar/gkq322 |
work_keys_str_mv | AT douguetdominique elea3dacomputationalaideddrugdesignwebserver |