Chemoinformatics

Tools & Technologies - in silico Drug Discovery

Extracting information from chemical and biological data is critical for understanding structure-activity relationships and patterns. This includes employing chemoinformatics tools and approaches, such as Bayesian modeling, as well as sophisticated machine learning methods. Such methods are very powerful in elucidating patterns of biological activity in very large datasets and in building predictive models.

Icagen has over 20 years of experience in chemoinformatics approaches and their application in advancing chemical matter from Active to Candidate stages.