Protein-Protein Interactions (PPIs) are critical for biological systems to function properly. Strong interactions maintain structural integrity and function, whereas weaker interactions enable ...
Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.
Products released at this year's meeting covered a broad range of applications from sustainable labware to protein assays to instruments.
Researchers capture first-of-its-kind video of dynein–Lis1 protein interaction, supporting future drug development for neurological disorders. Our cells rely on microscopic highways and specialized ...
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 ...
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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.
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Live-cell tracking reveals dynamic interaction between protein folding helpers and newly produced proteins
Proteins are the molecular machines of cells. They are produced in protein factories called ribosomes based on their blueprint—the genetic information. Here, the basic building blocks of proteins, ...
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