AI Drug Design Platform

Drug metabolism and toxicity prediction to optimize pharmacokinetic properties of compounds. Analyze absorption, distribution, metabolism, excretion, and toxicity profiles to support lead optimization and candidate selection.

Predict binding affinity between small molecules and protein targets to accelerate drug discovery. KINET platform employs multimodal deep learning architectures that integrate structural information and biophysical features to precisely evaluate binding conformations and affinity coefficients for novel compounds.

AI-based molecular design and generation to create novel compounds with specific properties. KINET platform employs generative models to explore chemical space and propose structures with optimal target activity and drug-like properties.

Complex structure prediction and analysis to provide structural basis for targeted drug design. Utilize our advanced protein folding algorithms to model protein structures and identify potential binding sites for rational drug design.