Arif, S., Holliday, J.D. and Willett, P. (2009) Analysis and use of fragment-occurrence data in similarity-based virtual screening. Journal of Computer Aided Molecular Design, 23 (9). pp. 655-668. ISSN 0920-654XFull text available as:
Current systems for similarity-based virtual screening use similarity measures in which all the fragments in a fingerprint contribute equally to the calculation of structural similarity. This paper discusses the weighting of fragments on the basis of their frequencies of occurrence in molecules. Extensive experiments with sets of active molecules from the MDL Drug Data Report and the World of Molecular Bioactivity databases, using fingerprints encoding Tripos holograms, Pipeline Pilot ECFC_4 circular substructures and Sunset Molecular keys, demonstrate clearly that frequency-based screening is generally more effective than conventional, unweighted screening. The results suggest that standardising the raw occurrence frequencies by taking the square root of the frequencies will maximise the effectiveness of virtual screening. An upper-bound analysis shows the complex interactions that can take place between representations, weighting schemes and similarity coefficients when similarity measures are computed, and provides a rationalisation of the relative performance of the various weighting schemes.
|Keywords:||Fingerprint; Fragment occurrences; Ligand-based virtual screening; Similarity searching; Substructural fragment; Tanimoto coefficient; Virtual screening; Weighting scheme|
|Institution:||The University of Sheffield|
|Academic Units:||The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield)|
|Depositing User:||Information Studies|
|Date Deposited:||27 Aug 2009 11:17|
|Last Modified:||08 Feb 2013 17:39|