A support vector machines approach for virtual screening of active compounds of single and multiple mechanisms from large libraries at an improved hit-rate and enrichment factor

• Main Authors: Han, L.Y., Ma, X.H., Lin, H.H., Jia, J., Zhu, F., Xue, Y., Li, Z.R., Cao, Z.W., Ji, Z.L., Chen, Y.Z.
• Other Authors: PHARMACY
• Format: Article
• Published: 2014
• Subjects: Computer aided dug design; Drug discovery; High-throughput screening; Lead discovery; Machine learning method; Virtual screening
• Online Access: http://scholarbank.nus.edu.sg/handle/10635/105604
• Institution: National University of Singapore

10.1016/j.jmgm.2007.12.002