A new artificial intelligence model developed by USC researchers and published in Nature Methods can predict how different proteins may bind to DNA with accuracy across different types of protein, a ...
They build our bodies and orchestrate the molecular processes in cells that keep them healthy. They also present a wealth of targets for new medications. From everyday pain relievers to sophisticated ...
Giving Structure to Language: Profluent’s AI Models Move toward Precise and Steerable Protein Design
The “ChatGPT moment” for biology proceeds to unfold as protein language models, or machine learning tools trained on large databases of protein sequences, work to decode the language of life with the ...
In the early 1980s, David Gilmour, now an emeritus biochemistry and molecular biology professor at Pennsylvania State University, joined the laboratory of geneticist and biochemist John Lis as a ...
Non-coding DNA is essential for both humans and trypanosomes, despite the large evolutionary divergence between these two species.
Mother Nature is perhaps the most powerful generative “intelligence.” With just four genetic letters—A, T, C, and G—she has crafted the dazzling variety of life on Earth. Can generative AI expand on ...
With GROVER, a new large language model trained on human DNA, researchers could now attempt to decode the complex information hidden in our genome. GROVER treats human DNA as a text, learning its ...
DNA doesn’t just sit still inside our cells — it folds, loops, and rearranges in ways that shape how genes behave.
Pranam Chatterjee, PhD, assistant professor of bioengineering at the University of Pennsylvania (UPenn), emphasizes that text is all you need for artificial intelligence (AI) models to effectively ...
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