M. Pedraza

Predicting membrane protein localization by deep learning on structure and chemistry

A graph neural network model of proteins was trained on experimentally determined membrane protein structures to predict the native membrane environment of transmembrane domains from their structure, and the algorithm, “GPSforTMDs,” obtains overall performance that is competitive with sequence‐based methods.