AI-driven drug discovery using our proprietary AI-powered platform, MoleculeGEN.
De novo drug design is a computational approach that generates novel molecular structures from atomic building blocks without relying on previously known compounds as starting points. It aims to automate the creation of new chemical entities tailored to specific molecular characteristics.
Using our proprietary AI-driven computational tools, de novo design creates novel, drug-like small molecules for particular targets, including those related to diseases with high unmet needs.
Ease the generation and optimization of lead molecules with the Molecule GEN suite of tools. Predict the ADMET and drug-likeness properties of your hits in a few clicks, and perform docking and non-covalent interaction analysis against desired targets to zero in on leads.
Use our AI algorithms to accelerate the generation of QSARs and modify leads to optimize specified properties, increasing your probability of success in cell and animal models.
Our team consists of an ideal mix of multidisciplinary capabilities, with AI experts working seamlessly together with experienced computational and medicinal chemists. We strongly believe in the importance of a multidisciplinary team for tackling the problem.
Deep Learning has revolutionized many fields but still remains in the nascent stages for drug design. Models like AlphaFold provide a strong foundation for the field but end-to-end solutions need to go far beyond. Hence, we develop novel architectures, built using biophysics principles at the core.