DeepTMInter is a deep-learning-based approach for predicting interaction sites in transmembrane proteins. It was developed using stacked generalization ensembles of ultradeep residual neural networks.
Mar 9, 2021
DeepTMInter is a predictor for accurately predicting inter-helical residue contacts in transmembrane proteins.
Jul 11, 2020