title: Towards improving compound selection in structure-based virtual screening.
abstract: Structure-based virtual screening is now an established technology for supporting hit finding and lead optimisation in drug discovery. Recent validation studies have highlighted the poor performance of currently used scoring functions in estimating binding affinity and hence in ranking large datasets of docked ligands. Progress in the analysis of large datasets can be made through the use of appropriate data mining techniques and the derivation of a broader range of descriptors relevant to receptor-ligand binding. In addition, simple scoring functions can be supplemented by simulation-based scoring protocols. Developments in workflow design allow the automation of repetitive tasks, and also encourage the routine use of simulation-based methods and the rapid prototyping of novel modelling and analysis procedures.
authors.affiliation: Argenta Discovery Ltd., 8/9 Spire Green Centre, Flex Meadow, Harlow, Essex CM19 5TR, UK. bohdan.waszkowycz@argentadiscovery.com
authors.forename: Bohdan
authors.initials: B
authors.lastname: Waszkowycz
mesh_terms: D003198:Computer Simulation; D017076:Computer-Aided Design; D015195:Drug Design; D004353:Drug Evaluation, Preclinical / Q000379:methods*; D016247:Information Storage and Retrieval; D008024:Ligands; D015394:Molecular Structure; D021281:Quantitative Structure-Activity Relationship; D012984:Software; D013678:Technology, Pharmaceutical / Q000379:methods*
chemical_list: D008024:Ligands