Protein-Protein Interactions (PPIs) are critical for biological systems to function properly. Strong interactions maintain structural integrity and function, whereas weaker interactions enable ...
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 ...
Cells constantly monitor and recycle their proteins through a tightly regulated waste-disposal system. Proteins that are no ...
A novel study uncovers how a subtle chemical tweak transforms the naturally occurring phytotoxin into a powerful molecular ...
Products released at this year's meeting covered a broad range of applications from sustainable labware to protein assays to instruments.
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MULTI-evolve accelerates protein engineering with machine learning
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.
This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational ...
Researchers have developed a new method for designing de novo proteins with tailored properties. Their approach leverages the structure prediction capabilities of AlphaFold2, combining them with an ...
A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...
Discover effective protein quantification methods for precision in molecular biology and clinical diagnostics.
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