2008
DOI: 10.1186/1471-2105-9-396
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FAF-Drugs2: Free ADME/tox filtering tool to assist drug discovery and chemical biology projects

Abstract: Background: Drug discovery and chemical biology are exceedingly complex and demanding enterprises. In recent years there are been increasing awareness about the importance of predicting/optimizing the absorption, distribution, metabolism, excretion and toxicity (ADMET) properties of small chemical compounds along the search process rather than at the final stages. Fast methods for evaluating ADMET properties of small molecules often involve applying a set of simple empirical rules (educated guesses) and as suc… Show more

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Cited by 233 publications
(164 citation statements)
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References 37 publications
(41 reference statements)
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“…Pustaka tersebut kemudian dapat menjadi acuan untuk eksperimen skrining obat secara in silico atau studi pemodelan terkait (Lagorce et al, 2008). Penggunaan piranti-piranti lunak daring tersebut banyak diarahkan untuk pengembangan obat dengue, avian influenza, dan kanker serviks (Wei et al, 2006;Lim et al, 2013;Bakri et al, 2014).…”
Section: Bioinformatika Dalam Bidang Kesehatan Dan Desain Obat Secaraunclassified
“…Pustaka tersebut kemudian dapat menjadi acuan untuk eksperimen skrining obat secara in silico atau studi pemodelan terkait (Lagorce et al, 2008). Penggunaan piranti-piranti lunak daring tersebut banyak diarahkan untuk pengembangan obat dengue, avian influenza, dan kanker serviks (Wei et al, 2006;Lim et al, 2013;Bakri et al, 2014).…”
Section: Bioinformatika Dalam Bidang Kesehatan Dan Desain Obat Secaraunclassified
“…AutoDock combines an empirical free energy force field with a Lamarckian genetic algorithm, providing fast prediction of bound conformations with predicted free energies of association. [39] Docking experiments were performed with AutoDock4, and all the molecules were docked with the target on the same pocket on which the natural molecules were docked [ Tables 6 and 7].…”
Section: Dockingmentioning
confidence: 99%
“…La construction d'un tel modèle a permis le dévelop-pement d'un logiciel librement accessible, PPI-HitProfiler (http:// www.cdithem.fr/getPPIHitProfiler.php), dont la fonction consiste à sélectionner, parmi les composés d'une chimiothèque, ceux ayant le plus fort potentiel pour moduler une interaction proté ine-proté ine. PPI-HitProfiler peut, en outre, être utilisé directement au sein de l'outil en ligne FAF-drugs2 (http://fafdrugs2.mti.univ-paris-diderot.fr) [38,39], qui permet plus globalement de filtrer toute chimiothèque selon de nombreux critères, notamment d'ADME-Tox (absorption, distribution, métabolisme, excrétion, toxicité). La validation de PPI-HitProfiler a été réalisée sur les données expérimentales de criblage de 11 cibles PPI (protein-protein interaction) différentes et un nombre cumulé de 500 000 molécules chimiques.…”
Section: Approche 2p2iunclassified