title: Conditional probability: a new fusion method for merging disparate virtual screening results.
abstract: This paper introduces a new consensus scoring approach for merging the results of different virtual screening methods based on conditional probabilities. The technique is experimentally evaluated using several ligand-based virtual screening methods and compared to two variations of the established Sum-rank fusion method where it performs as well or better than the Sum-rank methods. Our experiments confirm that consensus scoring increases the number of active compounds retrieved with respect to the best individual methods on average.
authors.affiliation: Pfizer Global Research and Development, Discovery Technologies, Ann Arbor Laboratories, 2800 Plymouth Road, Ann Arbor, Michigan 48105, USA. john.raymond@pfizer.com
authors.forename: John W
authors.initials: JW
authors.lastname: Raymond
authors.forename: Mehran
authors.initials: M
authors.lastname: Jalaie
authors.forename: Mary P
authors.initials: MP
authors.lastname: Bradley