Future peptide medicines will leverage unique amino acid building blocks, macrocyclic scaffolds, conjugation to multifunctional modalities, and more!
Future peptide medicines will benefit by a treasure of X-ray, cryo-EM, NMR, and new computational methods enabling design!
Future peptide medicines will increasingly advance big databases for mining and AI-driven knowledge systems!
The meeting focused on computational approaches for designing peptides, with panelists discussing the trade-offs between physics-based and machine learning methods.
Peptides are small, elegant molecules that bridge the complexity of proteins and the precision of chemistry. In my lab…
We introduce BoltzGen, an all-atom generative model for designing proteins and peptides across all modalities to bind a wide range of biomolecular targets.
Chemists continue to increase the number of building blocks from which peptide macrocycles may be synthesized; however…
Computational protein design has undergone a paradigm shift since the release of deep learning models such as…
A major challenge in cyclic peptide development is the limited availability of structural information…