Computational strategies overcome obstacles in peptide therapeutics development

Recently developed computational strategies could help realize the promise of peptide-based drugs. Researchers were able to sample the diverse landscape of shapes that peptides can form as a guide for designing the next generation of stable, potent, selective drugs. They compiled a library of peptide scaffolds upon which drug candidates might be designed. Their methods also can be used to design additional custom peptides with arbitrary shapes on demand.