GUSAR is a computational tool to create quantitative structure-activity relationship (QSAR) models. It uses a customized training set of chemical structures and quantitative data on biological activities to create a highly specific QSAR model. GUSAR is based on most recent achievements in the field of QSAR modeling. It has been developed by the team of Prof. Dr. Vladimir Poroikov, who heads the Department for Bioinformatics at the Institute of Biomedical Chemistry, Russian Academy of Medical Sciences in Moscow.
Analytical TechniquesCell ScienceChemistryDrug Discovery