Yiquan Wang

This paper decodes multi-state conformational heterogeneity from crystallographic B-factors using sequence context, introducing BFC to improve accuracy and utility in structural biology.

This paper shows that protein language models like ESM-2 encode evolutionary grammar rather than three-dimensional geometry, conflate topological and thermodynamic phases, and require explicit physical constraints for accurate modeling.

This study uses contrastive point cloud modeling to show that Alzheimer's disease involves a loss of hippocampal hierarchical abstraction, revealing a linear geometric degradation correlated with cognitive decline.

This paper explores using 2D spectrograms generated from amino acid sequences (sonification) for protein function prediction, showing improved performance over traditional methods.

This paper introduces a Fourier domain watermarking method to encode digital identifiers into biomolecular structures, enabling traceable and secure bio-molecular assets.