Noesis Chemoinformatics is a research informatics company developing software tools to support the identification and optimization of pharmaceutical leads satisfying the multiple, often competing objectives drugs have to meet. Our primary focus is to assist human experts when deciding which compounds to select, synthesize and test during a drug discovery project.

Noesis' methodology combines knowledge extraction and interpretation from ongoing pharmaceutical project data with archived target-related information and knowledge management to enable informed decisions to be made. The company's technology employs computational intelligence algorithms from the fields of Knowledge Extraction and Data Mining, Multi-Objective Optimization and Fuzzy Reasoning as well as techniques related to Graph Theory such as Substructure Mining and Scaffold-based Reasoning. This approach coupled with our profound understanding of chemoinformatics issues and challenges enables the development of new methods and the implementation of efficient tools for lead discovery.