A. Jeltsch, P. Schnee, M. Khella, S. Weirich, J. Pleiss, und 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, und 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.
M. Kirchhof. Dataset, (2021)Related to: M. Kirchhof, K. Gugeler, F. R. Fischer, M. Nowakowski, A. Bauer, S. Alvarez-Barcia, K. Abitaev, M. Schnierle, Y. Qawasmi, W. Frey, A. Baro, D. P. Estes, T. Sottmann, M. R. Ringenberg, B. Plietker, M. Bauer, J. Kästner, S. Laschat, Organometallics 2020, 39, 3131-3145. doi: 10.1021/acs.organomet.0c00310.
M. Deimling, und M. Kirchhof. Dataset, (2021)Related to: Asymmetric Catalysis in Liquid Confinement: Probing the Performance of Novel Chiral Rhodium-Diene Complexes in Microemulsions and Conventional Solvents. M. Deimling, M. Kirchhof, B. Schwager, Y. Qawasmi, A. Savin, T. Mühlhäuser, W. Frey, B. Claasen, A. Baro, T. Sottmann, S. Laschat, Chem. Eur. J. 2019, 25, 9464. doi: 10.1002/chem.201900947.
D. Holzmüller, V. Zaverkin, J. Kästner, und I. Steinwart. Software, (2022)Related to: David, Holzmüller, Viktor Zaverkin, Johannes Kästner, and Ingo Steinwart. A Framework and Benchmark for Deep Batch Active Learning for Regression, 2022. arXiv: 2203.09410.
D. Holzmüller, V. Zaverkin, J. Kästner, und I. Steinwart. Software, (2022)Related to: David Holzmüller, Viktor Zaverkin, Johannes Kästner, and Ingo Steinwart. A Framework and Benchmark for Deep Batch Active Learning for Regression, 2022. arXiv: 2203.09410.
D. Holzmüller, V. Zaverkin, J. Kästner, und I. Steinwart. Software, (2023)Related to: David Holzmüller, Viktor Zaverkin, Johannes Kästner, and Ingo Steinwart. A Framework and Benchmark for Deep Batch Active Learning for Regression, 2023. arXiv: 2203.09410.
V. Zaverkin, D. Holzmüller, I. Steinwart, und J. Kästner. Software, (2021)Related to: V. Zaverkin, D. Holzmüller, I. Steinwart, and J. Kästner, “Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments,” J. Chem. Theory Comput. 17, 6658–6670 (2021). doi: 10.1021/acs.jctc.1c00527.
N. Schädel. Dataset, (2021)Related to: Rotational barriers of carbamate-protected amine crosslinkers for hydrogels: A combined experimental and computational studyN. Schädel, J. Gebhardt, M. Löffler, D. Garnier, N. Hansen, S. Laschat, J. Phys. Org. Chem. 2019, 32, e3936. doi: 10.1002/poc.3936.
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. Vogler. Dataset, (2023)Related to: Charlotte Vogler, Stefan Naumann. A simplified approach for the metal-free polymerization of propylene oxide. RSC Advances, 2020, 10, 43389-43393. doi: 10.1039/d0ra08970b.
F. Markus, C. Vogler, J. Bruckner, und S. Naumann. Dataset, (2023)Related to: F. Markus, C. Vogler, J. R. Bruckner, S. Naumann, Ordered Mesoporous Carbons via Self-Assembly of Tailored Block Copolyethers for Pore Size-Dependent Applications. ACS Applied Nano Materials 2021, 4, 4, 3486-3492. doi: 10.1021/acsanm.0c03467.
M. Buchmeiser, D. Imbrich, D. Wang, und S. Naumann. Dataset, (2023)Related to: Michael R. Buchmeiser, Dominik Imbrich, Dongren Wang, Stefan Naumann. Betainic and ionic tungsten (VI) imido alkylidene N-heterocyclic olefin complexes. J. Organomet. Chem. 2023, 991, 122674. doi: 10.1016/j.jorganchem.2023.122674.
P. Hauser, M. van der Ende, J. Groos, W. Frey, D. Wang, und M. Buchmeiser. Dataset, (2021)Related to: Hauser, P.M., van der Ende, M., Groos, J., Frey, W., Wang, D., and Buchmeiser, M.R. (2020), Cationic Tungsten Alkylidyne N-Heterocyclic Carbene Complexes: Synthesis and Reactivity in Alkyne Metathesis. Eur. J. Inorg. Chem., 2020: 3070-3082. doi: 10.1002/ejic.202000503.
F. Markus, J. Bruckner, und S. Naumann. Dataset, (2023)Related to: F. Markus, J. R. Bruckner, S. Naumann, Controlled Synthesis of “Reverse Pluronic”-Type Block Copolyethers with High Molar Masses for the Preparation of Hydrogels with Improved Mechanical Properties. Macromol. Chem. Phys. 2020, 1900437. doi: 10.1002/macp.201900437.
P. Walther, A. Krauß, und S. Naumann. Dataset, (2023)Related to: Patrick Walther, Annabelle Krauß, Dr. Stefan Naumann, Lewis Pair Polymerization of Epoxides via Zwitterionic Species as a Route to High-Molar-Mass Polyethers, Angewandte Chemie 2019 58 (31), 10737-10741. doi: 10.1002/anie.201904806.
M. Schnierle, M. Leimkühler, und M. Ringenberg. Dataset, (2021)Related to: Inorganic Chemistry: year 2021, Vol. 60, Iss. 9, Pages 6367-6374. doi: 10.1021/acs.inorgchem.1c00094.