Eric Zhang

The paper develops a sequence-based chaos game representation combined with deep learning for peptide/protein classification, showing superior performance in hemolytic/non-hemolytic peptide and HIV protease mutant classification.

This paper introduces a parameter-free statistical physics-based method for protein structure prediction, achieving better performance than existing methods for 76% of analyzed proteins.