We focused on in-silico drug discovery, combining machine learning, physics-based modeling, and mechanistic simulations. We help pharma, biotech, and academic accelerate lead identification, optimization, and developability assessment across small molecules, and biologics.
I'm looking for
9 months ago
I am looking for collaboration and partnership opportunities with pharma, biotech, and academic R&D teams that are seeking advanced in-silico, AI/ML, and physics-based computational support. I am interested in industry problem statements related to R&D decision support.
About
Our work spans structure-based drug design, molecular simulations, ADMET and toxicity prediction, and computational risk assessment for critical development challenges such as solubility, stability, bioequivalence, and degradation liabilities. Growdea’s platforms and services are designed to de-risk experimental programs early, reduce cost and timelines, and support QbD-aligned decision making rather than replace experiments.
We have successfully delivered multiple projects with experimental validation confirming nanomolar activity of compounds identified through our computational workflows, demonstrating real-world impact of our in-silico capabilities.