2011
DOI: 10.1007/s00894-011-1280-4
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Hit clustering can improve virtual fragment screening: CDK2 and PARP1 case studies

Abstract: Virtual fragment screening could be a promising alternative to existing experimental screening techniques. However, reliable methods of in silico fragment screening are yet to be established and validated. In order to develop such an approach we first checked how successful the existing molecular docking methods can be in predicting fragment binding affinities and poses. Using our Lead Finder docking software the RMSD of the binding energy prediction was observed to be 1.35 kcal/mol(-1) on a set of 26 experime… Show more

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Cited by 7 publications
(3 citation statements)
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“…Deficiencies of current scoring functions complicate ranking of docking poses and produce high “false positive” and “false negative” rates. However, the performance of virtual screening can be improved by postdocking structural filtration, allowing the selection of specifically bound ligands. The main idea behind the structural filtration approach is that the presence of interactions characteristic for the substrate and/or known inhibitors could be taken as an effective criterion for the postdocking identification of new potent binders.…”
Section: Introductionmentioning
confidence: 99%
“…Deficiencies of current scoring functions complicate ranking of docking poses and produce high “false positive” and “false negative” rates. However, the performance of virtual screening can be improved by postdocking structural filtration, allowing the selection of specifically bound ligands. The main idea behind the structural filtration approach is that the presence of interactions characteristic for the substrate and/or known inhibitors could be taken as an effective criterion for the postdocking identification of new potent binders.…”
Section: Introductionmentioning
confidence: 99%
“…Initially we aimed at identification of novel fragment HSV-TK inhibitors using virtual fragment screening approach [8][9][10]. Model of the HSV-TK was constructed from PDB ID 1KI3…”
mentioning
confidence: 99%
“…Initially we aimed at identification of novel fragment HSV-TK inhibitors using virtual fragment screening approach [8][9][10]. Model of the HSV-TK was constructed from PDB ID 1KI3 [11] (TK UL23 from type 1 HSV strain 17), while highly homologous recombinant TK UL23 from acyclovir-sensitive strain L2 of type 1 HSV was used in further experiments [12].…”
mentioning
confidence: 99%