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1 to 10 of 14 Results
Additional data related to Weirich et al.: Discovery of new NSD2 non-histone substrates and design of a super-substrate
Mar 28, 2024 - MD Simulations
Jeltsch, Albert; Schnee, Philipp; Pleiss, Jürgen; Weirich, Sara, 2024, "Additional data related to Weirich et al.: Discovery of new NSD2 non-histone substrates and design of a super-substrate", https://doi.org/10.18419/darus-3815, DaRUS, V1
This data collection contains additional data related to Weirich et al.: "Discovery of new NSD2 non-histone substrates and design of a super-substrate". This includes Modelled structures of NSD2 bound to different peptides Source data of the results of the MD analysis MD simulati...
Additional data related to Khella et al.: The T1150A cancer mutant of the protein lysine methyltransferase NSD2 can introduce H3K36 trimethylation
Additional data related to Khella et al.: The T1150A cancer mutant of the protein lysine methyltransferase NSD2 can introduce H3K36 trimethylation
Mar 14, 2023 - MD Simulations
Jeltsch, Albert; Schnee, Philipp; Saad, Mina; Weirich, Sara; Pleiss, Jürgen; Bashtrykov, Pavel, 2023, "Additional data related to Khella et al.: The T1150A cancer mutant of the protein lysine methyltransferase NSD2 can introduce H3K36 trimethylation", https://doi.org/10.18419/darus-3263, DaRUS, V1
This data collection contains additional data related to Khella et al.: "The T1150A cancer mutant of the protein lysine methyltransferase NSD2 can introduce H3K36 trimethylation". This includes Movie 1: Example of a successful docking of AdoMet to the NSD2 T1150A - H3K36me2 pepti...
Self-diffusion coefficients of simulated aqueous glycerol mixtures
Oct 28, 2022 - ThermoML
Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Self-diffusion coefficients of simulated aqueous glycerol mixtures", https://doi.org/10.18419/darus-3115, DaRUS, V1
In order to make thermophysical properties of complex liquid mixtures available to a comprehensive analysis, we developed a data management and analysis platform based on the standard data exchange format ThermoML. The practicability of integrating thermophysical data from experi...
Densities of simulated aqueous methanol mixtures
Oct 28, 2022 - ThermoML
Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Densities of simulated aqueous methanol mixtures", https://doi.org/10.18419/darus-3112, DaRUS, V1
In order to make thermophysical properties of complex liquid mixtures available to a comprehensive analysis, we developed a data management and analysis platform based on the standard data exchange format ThermoML. The practicability of integrating thermophysical data from experi...
Self-diffusion coefficients of simulated aqueous methanol mixtures
Oct 28, 2022 - ThermoML
Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Self-diffusion coefficients of simulated aqueous methanol mixtures", https://doi.org/10.18419/darus-3114, DaRUS, V1
In order to make thermophysical properties of complex liquid mixtures available to a comprehensive analysis, we developed a data management and analysis platform based on the standard data exchange format ThermoML. The practicability of integrating thermophysical data from experi...
Densities of experimental aqueous methanol mixtures
Oct 28, 2022 - ThermoML
Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Densities of experimental aqueous methanol mixtures", https://doi.org/10.18419/darus-3116, DaRUS, V1
In order to make thermophysical properties of complex liquid mixtures available to a comprehensive analysis, we developed a data management and analysis platform based on the standard data exchange format ThermoML. The practicability of integrating thermophysical data from experi...
Densities of experimental aqueous glycerol mixtures
Oct 28, 2022 - ThermoML
Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Densities of experimental aqueous glycerol mixtures", https://doi.org/10.18419/darus-3117, DaRUS, V1
In order to make thermophysical properties of complex liquid mixtures available to a comprehensive analysis, we developed a data management and analysis platform based on the standard data exchange format ThermoML. The practicability of integrating thermophysical data from experi...
Tracer-diffusion coefficients of experimental aqueous methanol mixtures
Oct 28, 2022 - ThermoML
Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Tracer-diffusion coefficients of experimental aqueous methanol mixtures", https://doi.org/10.18419/darus-3118, DaRUS, V1
In order to make thermophysical properties of complex liquid mixtures available to a comprehensive analysis, we developed a data management and analysis platform based on the standard data exchange format ThermoML. The practicability of integrating thermophysical data from experi...
Self-diffusion coefficients of experimental aqueous glycerol mixtures
Oct 28, 2022 - ThermoML
Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Self-diffusion coefficients of experimental aqueous glycerol mixtures", https://doi.org/10.18419/darus-3119, DaRUS, V1
In order to make thermophysical properties of complex liquid mixtures available to a comprehensive analysis, we developed a data management and analysis platform based on the standard data exchange format ThermoML. The practicability of integrating thermophysical data from experi...
Viscosities of experimental aqueous methanol mixtures
Oct 28, 2022 - ThermoML
Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Viscosities of experimental aqueous methanol mixtures", https://doi.org/10.18419/darus-3120, DaRUS, V1
In order to make thermophysical properties of complex liquid mixtures available to a comprehensive analysis, we developed a data management and analysis platform based on the standard data exchange format ThermoML. The practicability of integrating thermophysical data from experi...
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