Machine learning and deep learning

AI-powered modeling for generative ensembles

How do we generate conformational ensembles of proteins using generative AI models?

Read more

Physics-Informed Deep Learning for Protein Variant Effect Prediction

Incorporating biophysical features into deep learning overcomes extrapolation failures in protein sequence-function modeling.

Read more

Molecular mechanisms of Ion channels

TMEM16F: Activation Mechanism and Dual Ion/Lipid Permeation Pathways

How does TMEM16F open its pore to conduct both ions and lipids?

Read more

TRPV4: Gating Mechanisms and Lipid Regulation

Dissecting hydrophobic gating and PIP2-mediated regulation in the TRPV4 ion channel using atomistic simulations.

Read more

Protein signaling and engineering

Dynamic Domain Interactions Encode CheA Autophosphorylation Mechanisms

Coarse-grained simulations reveal how the phosphorylatable P1 domain docks onto the kinase P4 domain in multiple productive and nonproductive modes to regulate CheA autophosphorylation.

Read more

Prediction of infectivity-enhancing mutations of the SARS-CoV-2 spike protein

In silico affinity maturation identifies single point mutations on the SARS-CoV-2 RBD that can enhance binding to the hACE2 receptor, with 6 out of 9 predictions confirmed by SPR assay.

Read more