Researchers have developed an AI model that predicts peptide sequences to prevent ribosome stalling in E. coli protein production. This breakthrough could dramatically improve sustainable manufacturing of pharmaceuticals, biofuels, and industrial enzymes. The technology represents a major step forwa
Scientists have constructed a novel multi-epitope vaccine targeting Brucella species through advanced bioinformatics approaches. The vaccine candidate demonstrates strong potential in computational analyses, though experimental validation remains necessary.
Researchers have reportedly developed a promising multi-epitope vaccine candidate against Brucella species using reverse vaccinology approaches, according to findings published in Scientific Reports. The comprehensive bioinformatics strategy employed multiple computational tools to design a vaccine that sources indicate could provide broad protection against the pathogenic bacteria responsible for brucellosis.
Researchers have uncovered fundamental mechanisms governing cholesterol attraction in transmembrane proteins through evolutionary simulations. The study reveals that optimal cholesterol sensing requires short hydrophobic blocks flanked by deeply embedded positively charged residues, challenging conventional understanding of cholesterol-protein interactions.
Scientists have employed physics-based evolutionary simulations to uncover the fundamental mechanisms by which transmembrane proteins attract cholesterol, according to research published in Nature Communications. The study simulated artificial evolution within a model membrane system containing 30% cholesterol and 70% POPC, analyzing how peptide sequences evolve to maximize cholesterol attraction. Researchers reportedly used both Martini 2 and Martini 3 coarse-grained force fields to validate their findings across different computational models.
