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, 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, A. Bröhm, M. Dukatz, and S. Adam. Dataset, (2021)Related to: Bröhm et al., Methylation of recombinant mononucleosomes by DNMT3A demonstrates efficient linker DNA methylation and a role of H3K36me3. Commun. Biol. 5(1):192, 2022. doi: 10.1038/s42003-022-03119-z.
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. 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.
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.
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).
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: 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.
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, (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.
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).
C. Lohoff, and P. Buchholz. 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.