With a newly developed method that compares AI-generated protein sequences with naturally occurring ones, function- and ...
With a newly developed method that compares AI-generated protein sequences with naturally occurring ones, function- and ...
Conserved sequence motifs within intrinsically disordered protein regions act as evolutionary units that support phase separation and membraneless organelle formation.
Bioinformatics researchers who perform alignments of long protein sequences face a difficult choice: They can get accurate results in hours (sometimes days), or quick results if they're willing to ...
The hidden Markov model (HMM), a statistical model widely applied in machine learning, has proven effective in addressing various problems in ...
Profluent Bio's AI-driven protein design and IDT’s enzymology and genomics expertise unite to explore new paths for ...
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 ...
Proteins, the natural molecules that carry out key cellular functions within the body, are the building blocks of all diseases. Characterizing proteins can reveal the mechanisms of a disease, ...
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Spectroscopy and AI method provide unique window into protein structure and mechanism of action
The lab of Hassane Mchaourab, director of the Center for Applied Artificial Intelligence in Protein Dynamics and professor of molecular physiology and biophysics, has developed a methodological ...
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AI model predicts peptide sequences that prevent ribosome stalling in E. coli protein production
Proteins sourced from microorganisms are attracting attention for their potential in biomanufacturing a variety of products, ...
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