2010
DOI: 10.1021/jm101020z
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Quo Vadis, Virtual Screening? A Comprehensive Survey of Prospective Applications

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Cited by 235 publications
(192 citation statements)
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“…Avoiding a large population of inactive compounds saves money and time, because the size of the experimental HTS is significantly reduced without sacrificing a large degree of hits. Ripphausen et al (2010) note that the first mention of vHTS was in 1997 (Horvath, 1997) and chart an increasing rate of publication for the application of vHTS between 1997 and 2010. They also found that the largest fraction of hits has been obtained for G-protein-coupled receptors (GPCRs) followed by kinases (Ripphausen et al, 2010).…”
Section: A Position Of Computer-aided Drug Design In the Drug Discovmentioning
confidence: 99%
See 1 more Smart Citation
“…Avoiding a large population of inactive compounds saves money and time, because the size of the experimental HTS is significantly reduced without sacrificing a large degree of hits. Ripphausen et al (2010) note that the first mention of vHTS was in 1997 (Horvath, 1997) and chart an increasing rate of publication for the application of vHTS between 1997 and 2010. They also found that the largest fraction of hits has been obtained for G-protein-coupled receptors (GPCRs) followed by kinases (Ripphausen et al, 2010).…”
Section: A Position Of Computer-aided Drug Design In the Drug Discovmentioning
confidence: 99%
“…Only after further iterative rounds of lead-to-drug optimization and in vivo testing does a compound reach a clinically appropriate potency and acceptable DMPK/ADMET properties (Jorgensen, 2004). For example, the literature survey performed by Ripphausen et al (2010) revealed that a majority of successful vHTS applications identified a small number of hits that are usually active in the micromolar range, and hits with low nanomolar potency are only rarely identified. .…”
Section: A Position Of Computer-aided Drug Design In the Drug Discovmentioning
confidence: 99%
“…Informações adicionais sobre essas técnicas podem ser encontradas na literatura. 120,[125][126][127][128] Um método de triagem virtual que se popularizou bastante dentro da toxicologia computacional compreende o uso de alertas estruturais. Alertas estruturais 129 são subestruturas moleculares que estão associadas com determinada propriedade da molécula.…”
Section: Triagem Virtualunclassified
“…99 Utilizando a base Chemdiv, com 700.000 compostos, a triagem virtual baseada em farmacóforos da cruzaína selecionou 20 compostos, 11 dos quais disponíveis comercialmente. 100 Ensaiados em cruzaína in vitro, alguns dos compostos apresentaram IC 50 102 Os resultados apontam para a relevância do perfil hidrofóbico à atividade biológica estudada.…”
Section: Figura 26 Tio(semicarbazonas) Inibidoras De Cruzaínaunclassified