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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 ...
Receptor proteins, expressed on the cell surface or within the cell, bind to different signaling molecules, known as ligands, ...
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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 ...
This year’s Lasker Basic Medical Research Award recognizes the contributions of Demis Hassabis and John Jumper for their invention of the AlphaFold artificial intelligence (AI) system, which predicts ...
About six months after coming out of stealth with $50 million in funding, Latent Labs has released a web-based AI model for programming biology. Latent Labs‘ model has “achieved state-of-the-art in ...
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 ...
The prediction of protein structure with the use of artificial intelligence and machine learning (AI–ML) is poised to transform how and when three-dimensional (3D) biostructure information is used in ...
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Predicting Protein Metal Binding with New Artificial Intelligence Model
Biologists and computational scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory recently refined two artificial intelligence (AI) programs originally built by Meta, the ...
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