Chenhao Zhang

The paper trains RNNs with short-term plasticity to perform decision-making tasks, showing that evidence accumulates during activity-silent periods through synaptic efficacy changes.

The study shows lipophilic dyes poorly label bona fide small extracellular vesicles, questioning their reliability for EV tracking.

This study evaluates AlphaFold3's accuracy in predicting non-canonical cyclic peptides and provides guidelines for its application.

This study introduces cycledesigner, a method combining RFdiffusion, ProteinMPNN, and HighFold to design cyclic peptide binders for specific targets, followed by scoring functions for screening.

GAPS uses geometric attention mechanisms and transfer learning to identify protein-peptide binding sites, achieving state-of-the-art performance.

Highfold predicts cyclic peptides and their complexes using AlphaFold, improving accuracy by incorporating structural information.