The paper Prediction of protein–ligand binding affinity from sequencing data with interpretable machine learning was published in Nature Biotechnology.
This page contains a list of computational methods and resources that we have developed. Please do not hessitate to contact us if you have any problems or questions. ProBound - A software that analyzes sequencing data from randomized binding assays in order to learn energetic models of sequence...
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.