%0 Journal Article
%T Fusing similarity rankings in ligand-based virtual screening
%A Peter Willett
%J Computational and Structural Biotechnology Journal
%D 2013
%I Research Network of Computational and Structural Biotechnology
%X Data fusion is the name given to a range of methods for combining multiple sources of evidence. This mini-review summarizes the use of one such class of methods for combining the rankings obtained when similarity searching is used for ligand-based virtual screening. Two main approaches are described: similarity fusion involves combining rankings from single searches based on multiple similarity measures; and group fusion involves combining rankings from multiple searches based on a single similarity measure. The review then focuses on the rules that are available for combining similarity rankings, and on the evidence that exists for the superiority of fusion-based methods over conventional similarity searching.
%K Combination methods
%K Ranking methods
%K Similarity measures
%K Similarity searching
%K Virtual screening
%U http://journals.sfu.ca/rncsb/index.php/csbj/article/view/csbj.201302002