Antigenic Peptides | Topics

AI platform could speed peptide drug discovery

Researchers developed an AI platform, PeptiVerse, to predict key properties of peptides, enabling early assessment of drug potential. The open-source platform allows users to evaluate ordinary and chemically modified peptides, streamlining the discovery process.

SourceUniversity of Pennsylvania School of Engineering and Applied Science·JournalNature Communications·TypeComputational simulation/modeling·DateJul 21, 2026

Penn engineers develop AI tool to design peptides that turn signals on or off

Researchers at the University of Pennsylvania and Chinese University of Hong Kong created TD3B, an AI framework guiding peptide generation toward candidates predicted to have a desired effect. The tool predicts binding likelihood and determines activation or deactivation of associated cellular machinery.

SourceUniversity of Pennsylvania School of Engineering and Applied Science·TypeComputational simulation/modeling·DateJul 9, 2026

Exploring peptide clumping for improved drug and material solutions

Researchers investigated peptide clumping behavior using molecular dynamics simulations and AI techniques. They discovered that aromatic amino acids enhance aggregation, while hydrophilic ones inhibit it, offering insights into peptide structure and function.

SourceXi'an Jiaotong-Liverpool University·JournalJACS Au·TypeComputational simulation/modeling·DateSep 3, 2024