A paradigm shift in drug discovery: computation-driven molecular design at atomic precision.
A paradigm shift in drug discovery: computation-driven molecular design at atomic precision.
Atommap's physics-based and ML-augmented computational drug discovery platform has powered Silicon Therapeutics and Roivant Discovery to deliver a clinical stage STING agonist, potent inhibitors against a high-valued but challenging oncology target, and active molecules for therapeutic degradation of target proteins.
Atommap's optimized and validated platform can enable drug design against previously intractable targets and drastically accelerate the discovery of novel medicines, reducing the time to development candidates by more than half and the required number of synthesized molecules by five-fold.
The Atommap team consists of seasoned digital drug hunters who have developed the platform and applied it in multiple successful drug discovery projects. The team includes the founding developers of the fastest molecular dynamics simulation code and the most widely used software for predicting protein-ligand binding affinities in the pharmaceutical industry.
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We computationally predict protein-ligand binding affinities and other molecular properties of drug designs using optimized physics-based models at state-of-the-art accuracy and unparalleled throughput. These predictions help prioritize the new candidate molecules for synthesis and test, substantially accelerating drug discovery. The prediction tools are available through subscriptions to our Computation as a Service. We also offer some components of our predictive platform as standalone software.
We integrate experimental biophysics data into advanced simulations to build accurate structural models of key complexes in targeted protein degradation, and we computationally design and select potent degrader molecules based on these dynamic ensembles of structures. We apply these one-of-its-kind computational tools to our partners' targeted protein degradation projects via flexible drug discovery collaborations.
We bring deep expertise in computation-driven drug discovery to our partners' projects and develop project-specific solutions to enable the design of molecules according to the specified profiles for therapeutic targets of interest, delivering high quality candidate drug molecules against otherwise intractable targets.
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