30 November 2016. A paper authored by Dr Josep Prous, Vice President of Prous Institute for Biomedical Research, published in Japan’s CBI Journal describes the advances in information technologies which allow complex data scenarios to be analyzed, and highlights the development of predictive models which correlate the features of small molecule with properties of pharmacological interest, including therapeutic activities and toxicity endpoints.
The paper is published in Japanese; please contact us to request an English translation of the article.
Knowledge Management Challenges in Modern Drug Discovery; Josep Prous, Jr. CBI Journal 2016, Volume 4, No. 4, Page 25-33. Published on November 30, 2016. (Please note: the link downloads the journal in PDF format, size 13MB).
Abstract: In recent years, biomedical research has evolved with the incorporation of multiple experimental techniques which have permitted new therapeutic targets to be determined along with genomic implications in disease. Despite their usefulness, many of these new approaches have led to the generation of enormous amounts of data which need to be structured effectively in order to discover more active and safer drugs. Fortunately, the advances in information technologies are making possible to analyze complex data scenarios that could not even be approached previously. The importance of the parallel evolution of the two fields will be emphasized, highlighting the development of predictive models which correlate the features of small molecule with endpoints of therapeutic interest, including therapeutic activities and toxicity profiles.