This process is costly, time-consuming, and has a low success rate. KAIST researchers have developed an AI model that, using only information about the target protein, can design optimal drug ...
Google DeepMind has expanded its AlphaFold AI system to not only predict the structure of proteins, but also to model how proteins interact with other cell structures, including DNA, RNA, and small ...
Nearly five years ago, DeepMind, one of Google’s more prolific AI-centered research labs, debuted AlphaFold, an AI system that can accurately predict the structures of many proteins inside the human ...
In this video interview, Ananth Kadambi, VP of real-world evidence and modeling solutions at Certara, discusses how model-informed drug development can help sponsors predict efficacy and safety ...
Southwest Research Institute scientists and engineers have developed a custom large language model (LLM) to accelerate drug design and discovery. A multidisciplinary team developed the Generative ...
Neo-1 is the first model to unify de novo molecular generation and atomic-level structure prediction in a single model, by generating latent representations of whole molecules instead of predicting ...
SCIENTIFIC PAPERS are normally models of discreet understatement. They are also (or are at least supposed to be) loaded with the information needed for others to replicate their findings. Not this one ...
Researchers headed by teams at the Advanced Science Research Center at the CUNY Graduate Center (CUNY ASRC) and Memorial Sloan Kettering Cancer Center have developed what they describe as a ...
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