D. Stöhr, A. Jeltsch, and M. Rehm. International Review of Cell and Molecular Biology, 351 : Cell Death Regulation in Health and Disease : Part A, chapter 3, Academic Press, Cambridge, (2020)
M. Krone, F. Frieß, K. Scharnowski, G. Reina, S. Fademrecht, T. Kulschewski, J. Pleiss, and T. Ertl. IEEE Visual Analytics Science & Technology Conference, IEEE Information Visualization Conference, and IEEE Scientifc Visualization Conference : proceedings 2016, 23, 1, page 701-710. New York, NY, IEEE Computer Society, (2017)
W. Halter, N. Kress, K. Otte, S. Reich, B. Hauer, and F. Allgöwer. 2015 Proceedings of the Conference on Control and its Applications (CT), page 384-391. Society for Industrial and Applied Mathematics, (2015)
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).
P. Buchholz. Dataset, (2021)Related to: Orlando M., Buchholz P. C. F., Lotti M. & Pleiss J. (2020). The GH19 Engineering Database: an extended classification system for exploring the properties of sequence space and protein evolution. (submitted).
C. Zeil, and P. Buchholz. Dataset, (2020)Related to: Maike Gräff, Patrick C. F. Buchholz, Marilize Le Roes-Hill & Jürgen Pleiss (2020): Multicopper oxidases: Modular structure, sequence space and evolutionary relationships. (submitted).
T. Bauer. Dataset, (2019)Related to: Bauer, T. L., Buchholz, P. C. F. and Pleiss, J. (2019), The modular structure of α/β-hydrolases. FEBS J. doi: 10.1111/febs.15071.
M. Gültig, J. Range, B. Schmitz, and J. Pleiss. Software, (2022)Related to: D’Errico, G., Ortona, O., Capuano, F., & Vitagliano, V. (2004). Diffusion Coefficients for the Binary System Glycerol + Water at 25 °C. A Velocity Correlation Study. Journal of Chemical & Engineering Data, 49(6), 1665-1670. doi: 10.1021/je049917u.
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.
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: Derlacki, Z. J., Easteal, A. J., Edge, A. V. J., Woolf, L. A., & Roksandic, Z. (1985). Diffusion coefficients of methanol and water and the mutual diffusion coefficient in methanol-water solutions at 278 and 298 K. The Journal of Physical Chemistry, 89(24), 5318-5322. doi: 10.1021/j100270a039.
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, 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, L. Dossmann, and M. Emperle. Dataset, (2024)Related to: Dossmann et al.: Specific DNMT3C flanking sequence preferences facilitate methylation of young murine retrotransposons. Submitted for publication.
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.
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.
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).
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.
A. Jeltsch, P. Bashtrykov, and C. Albrecht. Dataset, (2024)Related to: Albrecht, C.; Rajaram, N.; Broche, J.; Bashtrykov, P.; Jeltsch, A. Locus specific and stable DNA demethylation at the H19/IGF2 ICR1 by epigenome editing using a dCas9-SunTag system and the catalytic domain of TET1. Genes 2024, 15(1), 80. doi: 10.3390/genes15010080.
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. Schnee, and J. Pleiss. Software, (2022)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. 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.
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, M. Dukatz, and S. Adam. Dataset, (2022)Related to: Dukatz et al.: "DNA methyltransferase DNMT3A forms interaction networks with the CpG site and flanking sequence elements for efficient methylation", Journal of Biological Chemistry, 2022. doi: 10.1016/j.jbc.2022.102462.
A. Jeltsch, P. Bashtrykov, and N. Rajaram. Dataset, (2023)Related to: Rajaram N, Kouroukli AG, Bens S, Bashtrykov P, Jeltsch A. (2023) Development of super-specific epigenome editing by targeted allele-specific DNA methylation. Epigenetics & Chromatin 16, 41. doi: 10.1186/s13072-023-00515-5.