Publikationen
_{Structurelle Bioinformatik}

Jarmula, A.; Łusakowska, A.; Fichna, J.; Topolewska, M.; Macias, A.; Johnson, K.; Töpf , A.; Straub, V.; Rosiak, E.; Szczepaniak , K. et al.; Dunin-Horkawicz, S.; Maruszak, A.; Kaminska, A.; Redowicz, M.: ANO5 mutations in the Polish limb girdle muscular dystrophy patients: Effects on the protein structure. Scientific Reports 9 (1), 11533 (2019)

Ludwiczak, J.; Winski, A.; Szczepaniak , A.; Alva, V.; Dunin-Horkawicz, S.: DeepCoil: a fast and accurate prediction of coiled-coil domains in protein sequences. Bioinformatics 35 (16), S. 2790 - 2795 (2019)

Ludwiczak, J.; Winski, A.; Marinho da Silva Neto, A.; Szczepaniak, K.; Alva, V.; Dunin-Horkawicz, S.: PiPred: a deep-learning method for prediction of π-helices in protein sequences. Scientific Reports 9, 6888 (2019)

Nowacka, M.; Boccaletto, P.; Jankowska, A.; Jarzynka, T.; Bujnicki, J.; Dunin-Horkawicz, S.: RRMdb: an evolutionary-oriented database of RNA recognition motif sequences. Database: The Journal of Biological Databases and Curation 2019, bay148 (2019)

Ludwiczak, J.; Winski, A.; Hernandez-Alvarez, B.; Alva, V.; Malicki, M.; Marinho da Silva Neto, A.; Szczepaniak, K.; Dunin-Horkawicz, S.: Machine learning and simulation methods for deciphering sequence-structure relationships in proteins. In BioInformatics in Torun 2019 - BIT19, S. 4. BioInformatics in Torun 2019 (BIT19), Torun, Poland, 27. Juni 2019 - 29. Juni 2019. (2019)

Ludwiczak, J.; Wiński, A.; Marinho da Silva Neto, A.; Szczepaniak, K.; Alva, V.; Dunin-Horkawicz, S.: PiPred: a deep-learning method for prediction of pi-helices in protein sequences. In BioInformatics in Torun 2019 - BIT19, S. 61. BioInformatics in Torun 2019 (BIT19), Torun, Poland, 27. Juni 2019 - 29. Juni 2019. (2019)

Ludwiczak, J.; Wiński, A.; Szczepaniak, K.; Alva, V.; Dunin-Horkawicz, S.: DeepCoil: a fast and accurate prediction of coiled-coil domains in protein sequences. In BioInformatics in Torun 2019 - BIT19, S. 40. BioInformatics in Torun 2019 (BIT19), Torun, Poland, 27. Juni 2019 - 29. Juni 2019. (2019)