Scientists at St. Jude Children's Research Hospital have created a database that provides updated predicted structures on a ...
14don MSN
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, including pharmaceuticals, industrial enzymes, and diagnostic antibodies.
With the rapid advancements in computer technology and bioinformatics, the prediction of protein-ligand binding sites has ...
David Baker, Nobel Prize laureate and UW biochemistry professor, detailed the design and applications of new proteins using ...
With a newly developed method that compares AI-generated protein sequences with naturally occurring ones, function- and ...
Barcoding technologies using the high information content encoded in oligonucleotide sequences have aided various applications in biotechnology, especially when paired with next-generation DNA ...
A peptide sequence that performs well at micromole scale may behave unpredictably at gram or kilogram scale. Coupling efficiency, acceptable with high reagent excess, can drop when equivalents are ...
Researchers from Canada and the United States have created an artificial intelligence (AI) tool called PepMLM to target “undruggable” disease proteins. This development could lead to new treatments ...
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