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. 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.
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.
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.