A recent study published in the Journal of the American Chemical Society presents a computational approach for designing novel polypeptide-based molecules with unique secondary structures, such as alpha helices and beta sheets, fundamental in protein architecture. Led by researchers at Rensselaer Polytechnic Institute and the University of Washington, the study explored over 200,000 combinations of non-biological amino acids, leading to hundreds of new low-energy structures. Experimental validation with spectroscopy and crystallography confirmed the models’ accuracy. This method broadens polymer design possibilities, offering potential applications in biotechnology, including cancer and viral infection research.
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