If you're looking for another Atomwise alternative, Insilico Medicine is another promising option. Its AI-based platform speeds up pharmaceutical research by accelerating target identification, molecule design, and clinical trial outcome prediction. It offers a suite of tools including PHARMA.AI, PandaOmics, Chemistry42 and inClinico that can reduce the cost and time of traditional drug discovery, making it another powerful option for developing life-saving medicines.
Another option is Genesis Therapeutics, which uses 3D spatial graph modeling and molecular simulation to generate new drug candidates. Its GEMS platform combines deep learning for predicting properties with molecular simulations to tackle challenging biological targets. That makes it a good option for tackling breakthrough treatments for serious diseases, in particular potency and selectivity.
If you prefer a more data-centric approach, BenchSci offers ASCEND, an AI-based information retrieval system designed to accelerate drug discovery. It offers a large dataset and biology-specific multimodal AI that can understand experiments from text and figures. The platform is geared for pharmaceutical and biotech R&D organizations that want to increase research productivity and decrease experimental failures by integrating data and offering scientific support.
Last, Tempus is an AI-based precision medicine platform that can offer insights to improve cancer treatment. It includes tools like a clinical assistant, care gap identifier and multimodal real-world data analysis. Tempus has been validated through scientific publications and partnerships with big pharmaceutical and biotech companies, so it's another good option for developing personalized therapies and predicting patient-specific drug response.