Reports Outline Machine Learning - Support Vector Machines Study Findings from Rheinische Friedrich-Wilhelms University Bonn,Department of Life Science

摘要

2011 MAR 7 - (VerticalNews.com) -- Research findings, 'Application of supportrnvector machine-based ranking strategies to search for target-selective compounds,' are discussedrnin a new report. "Support vector machine (SVM)-based selectivity searching has recently beenrnintroduced to identify compounds in virtual screening libraries that are not only active for arntarget protein, but also selective for this target over a closely related member of the same proteinrnfamily. In simulated virtual screening calculations, SVM-based strategies termed preferencernranking and one-versus-all ranking were successfully applied to rank a database and enrich highrankingrnpositions with selective compounds while removing nonselective molecules from highrnranks," researchers in Bonn, Germany report.