An integrated AI-driven SaaS platform for end-to-end in-silico computational drug discovery that enables researchers to translate ideas into therapeutic candidates.
Molecule GEN is a cloud-based SaaS platform for AI-driven drug discovery that automates and accelerates the computational drug design workflow. It provides built-in intelligence and heuristics allowing researchers of varying skill levels to perform de novo target-aware molecule generation, AI-enhanced virtual screening, ADMET property prediction, lead optimization via generative AI, molecular dynamics simulation, and interactive molecule design. The platform offers tailor-made workflows for rational and AI-based de novo drug design, access to curated molecular building block libraries, and continuously updated generative models. It eliminates complex infrastructure setup, letting researchers focus on innovation.
De novo generation of target-aware drug-like small molecules
Virtual screening to identify promising molecular candidates
ADMET and drug-likeness property prediction before lab testing
Hit-to-lead and lead optimization through generative AI
Accelerated drug discovery timelines through computational automation
Reduced dependency on manual wet-lab processes in early-stage discovery
Improved decision-making through AI-driven molecular property prediction
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