Da Teng

MAHLER predicts antibody-antigen dissociation kinetics using a hybrid machine learning and physics approach, achieving screening-grade accuracy and fast computation.

This paper introduces REDIAL, an unsupervised framework to detect overparametrization in RNA language models, revealing inefficiencies and design flaws in current models.

This paper shows that the C-terminal tail of EmrE prevents proton leak by acting as a secondary gate, which is unlocked by substrate binding.

This study uses molecular dynamics simulations to investigate the pH-dependent conformational changes in the influenza B M2 proton channel and elucidates the role of histidine residues in its symmetric proton conduction.