DeepTMInter was published in Computational and Structural Biotechnology Journal in March 2021. This work is a major component of Jianfeng Sun’s PhD dissertation (Sun (2021)), which were conducted during his PhD research.
@article{SUN20210309,
author = {Jianfeng Sun and Dmitrij Frishman},
doi = {https://doi.org/10.1016/j.csbj.2021.03.005},
issn = {2001-0370},
journal = {Computational and Structural Biotechnology Journal},
keywords = {Deep learning,Molecular evolution,Protein function,Protein structure,Protein-protein interactions,Sequence annotation},
pages = {1512-1530},
title = {Improved sequence-based prediction of interaction sites in α-helical transmembrane proteins by deep learning},
volume = {19},
url = {https://www.sciencedirect.com/science/article/pii/S2001037021000775},
year = {2021},
}- Sun, J. (2021). Prediction of residue contacts and interaction sites in transmembrane proteins using deep learning (p. 140) [Phdthesis, Technische Universität München]. https://mediatum.ub.tum.de/1577512