In contrast to early days of drug discovery, when ideas about new medicines were born primarily via “serendipitous trial-and-error” approach, or mere luck, modern drug design is a more conscious process -- owing to increased understanding of disease mechanisms and the underlying biology, advents of combinatorial chemistry, high-throughput screening, and many other experimental techniques, and, of course, advances in computational methods.
Topic: ‘Artificial Intelligence’
Section: New Tools, Products and Technologies View all sections
In this Special Perspective, our fourth in an ongoing series, we will be presenting MatchMaker™, a novel deep proteome screening technology that we have developed and validated over the past 2 years to identify DTIs. MatchMaker builds on Cyclica’s passions of combining protein, chemistry, and genomic data, and augmenting it with high performance computing and algorithm development supported on the cloud.
(Last updated: 23.08.2018)
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A multi-year research agreement has just been announced between Takeda Pharmaceuticals (TSE: 4502) and an Artificial Intelligence (AI)-driven computational drug design company Numerate, Inc. Under this contract, Numerate will have to come up with new clinical candidates in the Takeda’s core therapeutic areas: oncology, gastroenterology, and central nervous system disorders.