AI RESEARCH

Towards protein folding pathways by reconstructing protein residue networks with a policy-driven model

arXiv CS.LG

ArXi:2604.04677v1 Announce Type: cross A method that reconstructs protein residue networks using suitable node selection and edge recovery policies produced numerical observations that correlate strongly (Pearson's correlation coefficient < -0.83) with published folding rates for 52 two-state folders and 21 multi-state folders; correlations are also strong at the fold-family level. These results were obtained serendipitously with the ND model, which was