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.
A. Singha Hazari, S. Chandra, Q. Song, D. Hunger, N. Neuman, J. Slageren, E. Klemm, B. Sarkar, and S. Kar. Dataset, (2024)Related to: Chandra, S., Singha Hazari, A., Song, Q., Hunger, D., Neuman, N. I., van Slageren, J., Klemm, E. & Sarkar, B. (2023). Remarkable Enhancement of Catalytic Activity of Cu-Complexes in the Electrochemical Hydrogen Evolution Reaction by Using Triply Fused Porphyrin. ChemSusChem 16, e202201146. doi: 10.1002/cssc.202201146.
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.
P. Srinivasan, D. Demuriya, B. Grabowski, and A. Shapeev. Dataset, (2024)Related to: Srinivasan, P., Demuriya, D., Grabowski, B. et al. Electronic Moment Tensor Potentials include both electronic and vibrational degrees of freedom. npj Comput Mater 10, 41 (2024). doi: 10.1038/s41524-024-01222-9.
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.