The paper Prediction of protein–ligand binding affinity from sequencing data with interpretable machine learning was published in Nature Biotechnology.
The preprint " Accurate sequence-to-affinity models for SH2 domains from multi-round peptide binding assays coupled with free-energy regression" is out on bioRxiv.
We just put out a preprint describing SPRINT-MS, an integrated computational-experimental platform that uses compressed sensing to accelerate proteomics research! The preprint can be found here.