As a science CRO, we understand the challenges of the drug discovery process and, hence, the importance of using advanced digital technologies and automation to deliver projects in a timely and cost-effective manner. That is why we offer a wide range of services that span from bioinformatics to molecular modeling and AI to aid in the discovery and optimization of new drug candidates.
From the early target identification stage, data mining and ligandability analysis can help you set the proper stage for your program. We can further advance your project with a range of hit finding/virtual screening services from our proprietary Life Science Database, along with external on-the-shelf and make-on-demand libraries. During hit-to-lead and lead optimization stages, we employ a wide range of advanced ligand- and structure-based molecular modeling techniques to optimize a series from a large pool of initial hits. Using cutting-edge digital technologies coupled with our machine learning capabilities, we can help you to quickly identify potential drug candidates and efficiently optimize them for the desired set of properties (e.g., potency, selectivity, physchem, DMPK).
Our expert team has extensive experience in the field, and we can help you design and implement the most suitable digital strategy for your specific project, while still leveraging other NUVISAN capabilities in, for example, chemistry or structural biology. We understand that time and resources are critical in the drug discovery process. That is why we strive to deliver the results in a timely manner to help streamline your program.
