All biological function is dependent on how different proteins interact with each other. Protein-protein interactions ...

DeepMind's AlphaFold, a generative AI tool, has achieved a milestone in biology by accurately predicting protein structures, ...

The newest favor authors do readers and listeners is peppering their texts with AI nonsense so they look more erudite, we are kept busy and feeling stupid, and so, they must be smart. No science ...

Zhang and his colleagues designed a generative AI model called ChromoGen to quickly ‘read’ DNA sequences and predict the ...

Fresh off winning a Nobel Prize last year, and previously tackling antibodies and peptides, the University of Washington’s David Baker and his team aim to make another breakthrough in art | As an ...

Precision Medicine Is the Future Of Healthcare When it comes to applied hard sciences, a source of progress has been more precise measurements and tools. This is especially true in physics and ...

Global tech giants are advancing their protein prediction AI technologies, but they are still focused on predicting and designing single protein structures. Predicting "multistate" protein structures ...

Strengths: It is impressive that the authors used AI combined with limited experimental validation to achieve such significant enhancements in protein performance. Besides, the successful application ...

Learn more about eLife assessments Artificial intelligence (AI) models have been used to ... making it well-suited for practical protein engineering applications. 2.3. Complex epistatic effects ...

The results, published in Science Advances on Feb. 5, suggest AI could be used to generate ... using a two-step model that first generated new proteins and then assessed their molecular properties ...

Min-Kyung Baek from the school of Biological Sciences at Seoul National University to develop a "next-generation protein structure prediction AI." Proteins are key biomolecular substances involved ...