News & Publications

NEWS & PUBLICATIONS

Learn more about Prous Institute and our progress in drug discovery, technology, industry partnerships, collaborations and scientific articles.


Prous Institute for Biomedical Research, a sponsor of the ANNUAL PREDICTIVE TOXICOLOGY SUMMIT to be held in London, Feb. 25-26, 2014, will introduce Prous Institute Symmetry®, the world’s first integrated in silico solution for drug discovery and safety screening.  The platform integrates models for a wide range of efficacy, toxicology and human adverse events endpoints, including m...


A new paper co-authored by scientists at US FDA and Prous Institute for Biomedical Research describes the development and validation of a QSAR model to predict Salmonella t. mutagenicity (Ames assay outcome) of pharmaceutical impurities using Prous Institute SYMMETRY SM, the world’s first integrated in silico solution for drug discovery and safety screening.  Data was sourced from publi...


Prous Institute will participate in the Annual Genotoxic Impurities Conference to be held in Berlin, June 19-20th to present its new in silico predictive platform, SYMMETRY®.  Attendees will have the opportunity to learn about SYMMETRY®’s QSAR models for predicting the mutagenic potential of drug impurities in accordance with ICH M7, developed in collaboration with the U.S. FDA....


Prous Institute for Biomedical Research is pleased to announce the publication of its new WIPO patent application: Pyrano[3,2-c][2]benzopyran-6(2H)-one derivatives and uses thereof.  Claimed  compounds have shown inhibitory activity against SGLT2 (type 2 sodium-glucose linked transporter) and have displayed positive effects in glycemia control in animal models. SGLT2 inhibitors promote t...


A new paper published by US FDA scientists (In silico modeling to predict drug-induced phospholipidosis; Sydney S. Choi, Jae S. Kim, Luis G. Valerio Jr., Nakissa Sadrieh;  Toxicol Appl Pharmacol. 269 (2013) 195–204) explores the use of Prous Institute’s SYMMETRY® in the construction and validation of QSAR models for the identification of drug-induced phospholipidosis (DIPL). T...

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