Ushering in a new paradigm of medicinal innovation with scalable artificial intelligence and quantum mechanics
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Ushering in a new paradigm of medicinal innovation with scalable artificial intelligence and quantum mechanics
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Dr. Mark Waller held senior academic positions and led research teams across several world-class institutions, resulting in the publication of numerous seminal papers in the field of artificial intelligence and quantum mechanics that focused on drug discovery-relevant capabilities.
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Computational drug discovery suffers from two central issues: 1) it is riddled with inaccuracies and approximations inherent in using classical physics, and 2) drug discovery teams continue to explore the same pharmaceutical and biological target spaces, in a world where novelty drives value generation. This, in part, contributes to the high rates of pharmaceutical research-and-development failures (70% of all projects, costing $193.2 billion annually). The industry continues to leverage antiquated tools to attempt the design of modern medicines.
Computational drug discovery, enhanced with integrated and scalable artificial intelligence and quantum mechanics, can model drug-protein structures and binding interactions with a level of precision unachievable with classical physics, as well as dramatically expand pharmaceutical and biological target space.
Computational drug discovery suffers from two central issues: 1) it is riddled with inaccuracies and approximations inherent in using classical physics, and 2) drug discovery teams continue to explore the same pharmaceutical and biological target spaces, in a world where novelty drives value generation. This, in part, contributes to the high rates of pharmaceutical research-and-development failures (70% of all projects, costing $193.2 billion annually). The industry continues to leverage antiquated tools to attempt the design of modern medicines.
Computational drug discovery, enhanced with integrated and scalable artificial intelligence and quantum mechanics, can model drug-protein structures and binding interactions with a level of precision unachievable with classical physics, as well as dramatically expand pharmaceutical and biological target space.
Pending AI has developed a world-first pharmaceutical discovery platform, exploring best-in-class and first-in-class medicines that are otherwise impossible to replicate with existing computational methods.
Pending AI has developed a world-first pharmaceutical discovery platform, exploring best-in-class and first-in-class medicines that are otherwise impossible to replicate with existing computational methods.
