Predictions - Domain-Peptide and Protein-Protein Interactions - HSM

Protein interaction predictions derived from hierarchical statistical mechanical modelling, a machine learning framework used to approximate biophysical models.<br><b>Data</b>Data are broken into two parts - protein level predictions (<i>hsm_p.predictions.csv</i>) and domain level predictions (<i>hsm_d.predictions.tar.gz</i>). Protein-protein predictions are triplets of two UniProt ids and the likelihood of binding. Domain-peptide interactions are chunked (arbitrarily) over JSON files. The JSON files are lists with each item containing the domain-peptide interactions of a single protein-protein interaction in the form:UID1,UID2 ,[[DTYPE, DUID1 , DSEQ , PSEQ, VAL ], ...] <br><br><b>Reference:</b>Cunningham JM, Koytiger G, Sorger PK, AlQuraishi M. "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."<i> Nature Methods</i> (2020).