Mu Gao

Deep learning-driven insights into super protein complexes for outer membrane protein biogenesis in bacteria

The paper uses deep learning to predict protein-protein interactions in E. coli's outer membrane biogenesis pathway, revealing new insights into protein complex structures and functions.

Predicting direct physical interactions in multimeric proteins with deep learning

The paper adapts AlphaFold2 models to predict structures of multimeric protein complexes and introduces metrics for predicting direct protein-protein interactions.

A general framework to learn tertiary structure for protein sequence characterization

This paper introduces SAdLSA, a deep-learning algorithm for protein sequence comparison that generates fold distograms and detects structural relationships without explicit fold training.