Question: I'm looking for a tool that leverages 3D spatial graph modeling and molecular simulation to identify potential drug candidates.

If you're looking for a tool that uses 3D spatial graph modeling and molecular simulation to screen for drug candidates, Genesis Therapeutics is a good option. The company's GEMS platform combines deep learning and molecular simulations to predict properties and generate molecules. With features like Dynamic PotentialNet for potency, selectivity, and ADMET property prediction, and advanced 3D binding dynamics simulation, Genesis Therapeutics enables researchers to speed up the discovery of new treatments.

Another interesting platform is BenchSci. ASCEND is an AI-powered information retrieval system for accelerating drug discovery and preclinical R&D. It includes multimodal AI for interpreting experiments from text and figures, and internal data integrations with enterprise-grade security. ASCEND can accelerate life-saving research by providing scientific support and onboarding through a team of over 100 scientists and engineers.

If you want to explore semantic biomedical knowledge, Nextnet offers a cloud-based information retrieval system. It aggregates global biomedical knowledge so users can perform semantic searches with natural language or keywords. The platform includes features like relational search, conceptual search, and a comprehensive semantic biomedical knowledge network, which can accelerate discovery and R&D by integrating and contextualizing information from multiple data sources.