Buyong Ma

This study uses molecular dynamics simulations to uncover how c-Src recognizes and phosphorylates different forms of KRas, identifying key residues and conformations involved in this interaction.

ABTrans predicts anti-A{beta} antibody-peptide interactions with 0.8278 accuracy, identifying off-target candidates and cross-reactivity patterns.

This study develops DeepConformer, a diffusion model that learns protein conformational dynamics and energy landscapes from PDB structures and coevolution data, reproducing MD simulation results without using MD data.

SAGERank uses deep learning to predict antibody-antigen binding and docking, outperforming existing methods and showing potential for broader protein-protein interaction analysis.

This paper introduces VirEvol, a platform that predicts and visualizes SARS-CoV-2 evolutionary trends using a protein language model, structural data, and immunological insights, achieving 93% accuracy in identifying high-risk strains.