For your large library of screening compounds and drug discovery building blocks, ChemDiv is a good option. This contract research organization offers a range of services, including different types of screening libraries like focused and targeted libraries, diversity libraries and building blocks. Its large library and integrated services, combining AI and ML with human expertise, can help speed up your drug discovery and development projects.
Atomwise is another good option, offering an AI-based drug discovery platform that uses convolutional neural networks to rapidly explore the vast chemical space. The platform is well suited for discovering new small molecule medicines and for poorly annotated targets. Its scalable discovery engine and broad pipeline covering many disease areas make it a good fit for your needs.
If you want to use AI to speed up pharmaceutical research and development, Insilico Medicine has a powerful platform. Its tools, including PHARMA.AI and Chemistry42, can accelerate target identification, molecule design and clinical trial predictions. The suite of tools can dramatically reduce the cost and time required for traditional drug discovery.
For combining AI with molecular simulation, Genesis Therapeutics offers the GEMS platform. The platform combines deep learning with molecular simulation to develop high-potency and selective small molecule drugs. Its ability to predict potency, selectivity and ADMET properties makes it a good option for dealing with challenging biological targets in drug discovery.