Surjit B. Dixit

ZymePackNet predicts protein sidechain conformations using a graph neural network without requiring rotamer libraries or energy functions, achieving high accuracy in dihedral angle prediction.

This paper introduces ZymeSwapNet, a 1D-CNN model for protein sequence prediction that optimizes design objectives like stability and binding specificity in antibody domains.