Ming Li

Predicting TCR-pMHC Binding by Reinforcement Learning

This paper introduces ProTCR, a reinforcement learning method for predicting TCR-pMHC binding, achieving higher accuracy than existing methods on benchmark datasets.

Accurate structure prediction of immune proteins using parameter-efficient transfer learning

The paper introduces ImmuneFold, a transfer learning method for immune protein structure prediction, showing improved accuracy over existing methods for TCR-epitope binding.