geneXplain

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.

GUSAR - General Unrestricted Structure Activity Relationships

PASS is a computer program to predict spectra of biological activities for organic drug-like compounds. Input is the 2D structure of a chemical compound, or an even rather long list of substances, and the program will return a list of biological activities with probability values.

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