Homology-based inference sets the bar high for protein function prediction. - Tobias Hamp; Rebecca Kassner; Stefan Seemayer; Esmeralda Vicedo; Christian Schaefer; Dominik Achten; Florian Auer; Ariane Boehm; Tatjana Braun; Maximilian Hecht; Mark Heron; Peter Hönigschmid; et al. (BMC Bioinform., 2013)

QARIP: a web server for quantitative proteomic analysis of regulated intramembrane proteolysis. - Dmitry N. Ivankov; Natalya S. Bogatyreva; Peter Hönigschmid; Bastian Dislich; Sebastian Hogl; Peer-Hendrik Kuhn; Dmitrij Frishman; Stefan F. Lichtenthaler (Nucleic Acids Res., 2013)

PredictProtein - an open resource for online prediction of protein structural and functional features. - Guy Yachdav; Edda Kloppmann; László Kaján; Maximilian Hecht; Tatyana Goldberg; Tobias Hamp; Peter Hönigschmid; Andrea Schafferhans; Manfred Roos; Michael Bernhofer; Lothar Richter; Haim Ashkenazy; et al. (Nucleic Acids Res., 2014)

MutHTP: mutations in human transmembrane proteins. - A. Kulandaisamy; S. Binny Priya; R. Sakthivel; Svetlana Tarnovskaya; Ilya Bizin; Peter Hönigschmid; Dmitrij Frishman; M. Michael Gromiha (Bioinform., 2018)

AllesTM: predicting multiple structural features of transmembrane proteins. - Peter Hönigschmid; Stephan Breimann; Martina Weigl; Dmitrij Frishman (BMC Bioinform., 2020)

Validity of machine learning in biology and medicine increased through collaborations across fields of expertise. - Maria Littmann; Katharina Selig; Liel Cohen-Lavi; Yotam Frank; Peter Hönigschmid; Evans Kataka; Anja Mösch; Kun Qian 003; Avihai Ron; Sebastian Schmid 002; Adam Sorbie; Liran Szlak; et al. (Nat. Mach. Intell., 2020)