Key opportunities in the protein labeling market include increasing demand for site-specific tags in proteomics and drug development, the rise of AI tools for protein structure prediction, and the ...
The most visible impact of AI seems to be in coding, but it could also be poised to disrupt other hard sciences.
A new artificial intelligence-driven pipeline developed in a collaborative research combines protein structure prediction, ...
The intrinsically disordered proteins (IDPs) do not attain a stable secondary or tertiary structure and rapidly change their conformation, making structure prediction particularly challenging. These ...
A new artificial intelligence-driven pipeline developed in a collaborative research combines protein structure prediction, sequence design, and ...
Physical interactions between proteins influence anything from cell signaling and growth to immune responses, so the ability to control these interactions is of great interest to biologists.
Scientists at Lawrence Livermore National Laboratory (LLNL) and collaborators at Advanced Micro Devices (AMD) and Columbia University report they have achieved a milestone in biological computing: ...
Google DeepMind released AlphaGenome on January 28, an AI model that predicts how DNA sequences translate into biological functions, processing up to one million base-pairs at once and outperforming ...
Scientists have uncovered new DNA-binding proteins from some of the most extreme environments on Earth and shown that they can improve rapid medical tests for infectious diseases.
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