A. Jeltsch, P. Schnee, M. Khella, S. Weirich, J. Pleiss, and P. Bashtrykov. Software, (2023)Related to: Mina S. Khella, Philipp Schnee, Sara Weirich, Tan Bui, Alexander Bröhm, Pavel Bashtrykov, Jürgen Pleiss, Albert Jeltsch: The T1150A cancer mutant of the protein lysine methyltransferase NSD2 can introduce H3K36 trimethylation. J Biol Chem, 2023, 5, 104796. doi: 10.1016/j.jbc.2023.104796.
A. Jeltsch, P. Schnee, and J. Pleiss. Software, (2022)Related to: Philipp Schnee, Michel Choudalakis, Sara Weirich, Mina S. Khella, Henrique Carvalho, Jürgen Pleiss & Albert Jeltsch (2022) Mechanistic basis of the increased methylation activity of the SETD2 protein lysine methyltransferase towards a designed super-substrate peptide. Communications Chemistry, 5, 139. doi: 10.1038/s42004-022-00753-w.
P. Buchholz. Dataset, (2021)Related to: Patrick C. F. Buchholz, Bert van Loo, Bernard D. G. Eenink, Erich Bornberg-Bauer, Jürgen Pleiss: Äncestral sequences of a large promiscuous enzyme family correspond to bridges in sequence space in a network representation" (submitted).
C. Lohoff. Dataset, (2020)Related to: Lohoff C., Buchholz P. C. F., Le Roes-Hill M. & Pleiss J. (2020). The Expansin Engineering Database: a navigation and classification tool for expansins and homologues. Proteins: Structure, Function, and Bioinformatics 89:2. doi: 10.1002/prot.26001.
M. Häußler. Dataset, (2024)Related to: Häussler M, Prins A, Le Roes-Hill M, Wittig U, Pleiss, J. (2024) EnzymeML-based modeling workflow: from raw data to kinetic parameters. ChemCatChem.
T. Giess, S. Itzigehl, J. Range, J. Bruckner, and J. Pleiss. Dataset, (2022)Related to: Giess T., Itzigehl S., Range J. P., Bruckner J. R., Pleiss J., FAIR and scalable management of small-angle X-ray scattering data, 2023. doi: 10.1107/S1600576723001577.
A. Jeltsch, P. Bashtrykov, S. Adam, A. Mack, and M. Emperle. Dataset, (2021)Related to: Alexandra Mack, Max Emperle, Philipp Schnee, Sabrina Adam, Jürgen Pleiss, Pavel Bashtrykov, & Albert Jeltsch: Preferential interaction of DNMT3A subunits containing the R882H cancer mutation leads to dominant changes of flanking sequence effects. Submitted for publication.
A. Jeltsch, P. Bashtrykov, S. Adam, and S. Kunert. Dataset, (2021)Related to: Emperle M, Bangalore DM, Adam S, Kunert S, Heil HS, Heinze KG, Bashtrykov P, Tessmer I, Jeltsch A. Structural and biochemical insight into the mechanism of dual CpG site binding and methylation by the DNMT3A DNA methyltransferase. Nucleic Acids Res,Volume 49, Issue 14, 20 August 2021, Pages 8294-8308. doi: 10.1093/nar/gkab600.
A. Jeltsch, P. Bashtrykov, and S. Adam. Dataset, (2020)Related to: Sabrina Adam, Hiwot Anteneh, Maximilian Hornisch, Vincent Wagner, Jiuwei Lu, Nicole E. Radde, Pavel Bashtrykov, Jikui Song, Albert Jeltsch: DNA sequence-dependent activity and base flipping mechanisms of DNMT1 regulate genome-wide DNA methylation. Nat Commun. 2020 Jul 24;11(1):3723. doi: 10.1038/s41467-020-17531-8.
A. Jeltsch, P. Bashtrykov, and S. Adam. Dataset, (2020)Related to: Sabrina Adam, Hiwot Anteneh, Maximilian Hornisch, Vincent Wagner, Jiuwei Lu, Nicole E. Radde, Pavel Bashtrykov, Jikui Song, Albert Jeltsch (2020) DNA sequence-dependent activity and base flipping mechanisms of DNMT1 regulate genome-wide DNA methylation. Nat Commun. 11(1):3723. doi: 10.1038/s41467-020-17531-8.
A. Jeltsch, P. Bashtrykov, and S. Adam. Dataset, (2021)Related to: Adam et al.: Flanking sequences influence the activity of TET1 and TET2 methylcytosine dioxygenases and affect genomic 5hmC patterns. Communications Biology, 5:92 (2022). doi: 10.1038/s42003-022-03033-4.
A. Jeltsch, P. Bashtrykov, M. Dukatz, and S. Adam. Dataset, (2020)Related to: Michael Dukatz, Sabrina Adam, Mahamaya Biswal, Jikui Song, Pavel Bashtrykov, & Albert Jeltsch: Complex DNA sequence readout mechanisms of the DNMT3B DNA methyltransferase. Nucleic Acids Res. 2020 Nov 18;48(20):11495-11509. doi: 10.1093/nar/gkaa938.
A. Jeltsch, P. Bashtrykov, M. Emperle, S. Adam, and M. Dukatz. Dataset, (2020)Related to: Linfeng Gao, Max Emperle, Hidetaka Uryu, Sara A Grimm, Wendan Ren, Sabrina Adam, Dongliang Chen, Zhi-Min Zhang, Yiran Guo, Jiekai Yin, Michael Dukatz, Hiwot Anteneh, Renata Z. Jurkowska, Jiuwei Lu, Yinsheng Wang, Pavel Bashtrykov, Paul A Wade, Gang Greg Wang, Albert Jeltsch, Jikui Song. Comprehensive structure-function characterization of DNMT3B and DNMT3A reveals distinctive de novo DNA methylation mechanisms. Nat Commun. 2020 Jul 3;11(1):3355. doi: 10.1038/s41467-020-17109-4.
M. Gültig, J. Range, B. Schmitz, and J. Pleiss. Software, (2022)Related to: Cristancho, D., Delgado, D., Martínez, F., Abolghassemi Fakhree, M. A., & Jouyban, A. (2011). Volumetric properties of glycerol + water mixtures at several temperatures and correlation with the Jouyban-Acree model. Revista Colombiana de Ciencias Químico Farmacéuticas, 40. 92-115.
M. Gültig, J. Range, B. Schmitz, and J. Pleiss. Software, (2022)Related to: Mikhail, S. Z., & Kimel, W. R. (1961). Densities and Viscosities of Methanol-Water Mixtures. Journal of Chemical & Engineering Data, 6(4), 533-537. doi: 10.1021/je60011a015.
M. Gültig, J. Range, B. Schmitz, and J. Pleiss. Software, (2022)Related to: Gültig, M., Range, J. P., Schmitz, B., & Pleiss, J. (2022). Integration of Simulated and Experimentally Determined Thermophysical Properties of Aqueous Mixtures by ThermoML. Journal of Chemical & Engineering Data,. doi: 10.1021/acs.jced.2c00391.
M. Gültig, J. Range, B. Schmitz, and J. Pleiss. Software, (2022)Related to: Gültig, M., Range, J. P., Schmitz, B., & Pleiss, J. (2022). Integration of Simulated and Experimentally Determined Thermophysical Properties of Aqueous Mixtures by ThermoML. Journal of Chemical & Engineering Data,. doi: 10.1021/acs.jced.2c00391.