Computer forecasting and experimental validation of antiaggregate properties of cetrine, glurenorm, moex and dilthiazem

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A new algorithm and 'Drug' database, permitting to predict new actions of familiar medical products, are developed and registered. The algorithm is based on comparison of a set of quantum-chemical and geometrical descriptors of molecules through multivariate statistics. The algorithm output for four drugs - cetrine (cetirizine), glurenorm (glividon), moex (moexipril) and dilthiazem (diltiazem) - was tested through practice.

Biological activity forecasting, molecular modeling, непептидные ингибиторы тромбоцитарного гликопротеина iib/iiia, nonpeptide inhibitors of iib/iiia thrombocytic glycoproteins

Короткий адрес: https://sciup.org/14249551

IDR: 14249551

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