Protein-based virtual screening of chemical databases. 1. Evaluation of different docking/scoring combinations.
By C. Bissantz, G. Folkers, Didier Rognan. Journal of Medicinal Chemistry, 2000
685 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Molecular Biology, Organic Chemistry
View Paper: https://www.semanticscholar.org/paper/10c17b4fa2f35b0c6484fef5ccda79d05a5a3c49
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In Computational Theory and Mathematics
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In Molecular Biology
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In Organic Chemistry
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Citations in the corpus
- A detailed comparison of current docking and scoring methods on systems of pharmaceutical relevance (2004, background): “tend to give better predictions in certain types of binding sites.(7,8,11) This dependence should be properly weighted when a secondary function for rescoring is selected.”
- iGEMDOCK: a graphical environment of enhancing GEMDOCK using pharmacological interactions and post-screening analysis (2011, neutral): “[21] for each therapeutic protein target.”
- Computational drug discovery (2012, methodology): “A validation test docking known inhibitors into the binding pockets of thymidine kinase (TK) and HIV-1 reverse RT indicated that GAsDock is more accurate than other docking programs, such as GOLD [33] , FlexX [33] , DOCK [33] , Surflex [30] , and Glide [29] .”
- Comparative evaluation of eight docking tools for docking and virtual screening accuracy (2004, background): “26,29,32,35,42 We even reported discrepancies be-tween docking and screening accuracies, 26 which is rather frustrating in a structure-based screening approach.”