Combining selectivity and affinity predictions using an integrated Support Vector Machine (SVM) approach: An alternative tool to discriminate between the human adenosine A2A and A3 receptor pyrazolo-triazolo-pyrimidine antagonists binding sites

Combining selectivity and affinity predictions using an integrated Support Vector Machine (SVM) approach: An alternative tool to discriminate between the human adenosine A2A and A3 receptor pyrazolo-triazolo-pyrimidine antagonists binding sites

10.1016/j.bmc.2009.05.038

Saved in:
Bibliographic Details
Main Authors: Michielan, L., Bolcato, C., Federico, S., Cacciari, B., Bacilieri, M., Klotz, K.-N., Kachler, S., Pastorin, G., Cardin, R., Sperduti, A., Spalluto, G., Moro, S.
Other Authors: PHARMACY
Format: Article
Published: 2014
Subjects:
Adenosine receptors
G protein-coupled receptor
QSAR
Selectivity profile
Support Vector Machine
Online Access:http://scholarbank.nus.edu.sg/handle/10635/105748
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: National University of Singapore

Similar Items

Similar Items