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Subject: Chemistry Subject: Computer and Information Science Funding Information Identifier: EXC 2075 - 390740016

1 to 8 of 8 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 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...
Molecular simulation scripts for bulk solutions Mar 8, 2023 - NMR investigation of water confined by salt interface Gravelle, Simon; Holm, Christian; Schlaich, Alexander, 2023, "Molecular simulation scripts for bulk solutions", https://doi.org/10.18419/darus-3179, DaRUS, V1 GROMACS molecular simulation input files for bulk solutions of NaCl and Na2SO4. Initial configuration with different salt concentration can be generated using the Python script ConfigurationGenerator.py, and successive GROMACS runs can be performed by running the runall.sh Bash s...
Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials Feb 20, 2023 - PN 6 Zaverkin, Viktor; Holzmüller, David; Bonfirraro, Luca; Kästner, Johannes, 2023, "Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials", https://doi.org/10.18419/darus-3299, DaRUS, V1 Pre-trained and fine-tuned ANI models using the Gaussian Moments Neural Network (GM-NN) approach. Code for GM-NN implemented within the Tensorflow framework, including the respective documentation and tutorials, can be found on GitLab. The data represents TensorFlow v2 checkpoint...
Enzymatically induced carbonate precipitation and its effect on capillary pressure-saturation relations of porous media - micro-XRCT dataset of low column (sample 10) Jul 12, 2022 - Publication: Enzymatically induced carbonate precipitation Ruf, Matthias; Hommel, Johannes; Steeb, Holger, 2022, "Enzymatically induced carbonate precipitation and its effect on capillary pressure-saturation relations of porous media - micro-XRCT dataset of low column (sample 10)", https://doi.org/10.18419/darus-2908, DaRUS, V1, UNF:6:lD3UlWjZQRaGPURMuWejpw== [fileUNF] This dataset contains a micro X-ray Computed Tomography (micro-XRCT) data set (projection, reconstructed, and segmented images) from a sintered glass beads column packing with enzymatically induced carbonate precipitation. The prepared sintered glass beads column sample has a dia...
Enzymatically induced carbonate precipitation and its effect on capillary pressure-saturation relations of porous media - micro-XRCT dataset of high column (sample 4) Jul 12, 2022 - Publication: Enzymatically induced carbonate precipitation Ruf, Matthias; Hommel, Johannes; Steeb, Holger, 2022, "Enzymatically induced carbonate precipitation and its effect on capillary pressure-saturation relations of porous media - micro-XRCT dataset of high column (sample 4)", https://doi.org/10.18419/darus-2907, DaRUS, V1, UNF:6:ZBzSpg62B7xn5d+OtyUilg== [fileUNF] This dataset contains micro X-ray Computed Tomography (micro-XRCT) data sets (projection, reconstructed, and segmented images) from a sintered glass beads column packing with enzymatically induced carbonate precipitation. The prepared sintered glass beads column sample has a diam...
Enzymatically induced carbonate precipitation and its effect on capillary pressure-saturation relations of porous media - micro-XRCT dataset of medium column (sample 3) Jul 11, 2022 - Publication: Enzymatically induced carbonate precipitation Ruf, Matthias; Hommel, Johannes; Steeb, Holger, 2022, "Enzymatically induced carbonate precipitation and its effect on capillary pressure-saturation relations of porous media - micro-XRCT dataset of medium column (sample 3)", https://doi.org/10.18419/darus-2906, DaRUS, V1, UNF:6:jlP3pZtBY1BpGYRex5PnqA== [fileUNF] This dataset contains a micro X-ray Computed Tomography (micro-XRCT) data set (projection, reconstructed, and segmented images) from a sintered glass beads column packing with enzymatically induced carbonate precipitation. The prepared sintered glass beads column sample has a dia...
Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments Oct 15, 2021 - PN 6 Zaverkin, Viktor; Holzmüller, David; Steinwart, Ingo; Kästner, Johannes, 2021, "Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments", https://doi.org/10.18419/darus-2136, DaRUS, V1 Code and documentation for the improved Gaussian Moments Neural Network (GM-NN). An updated version can be found on GitLab

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

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...

Molecular simulation scripts for bulk solutions

Mar 8, 2023 - NMR investigation of water confined by salt interface

Gravelle, Simon; Holm, Christian; Schlaich, Alexander, 2023, "Molecular simulation scripts for bulk solutions", https://doi.org/10.18419/darus-3179, DaRUS, V1

GROMACS molecular simulation input files for bulk solutions of NaCl and Na2SO4. Initial configuration with different salt concentration can be generated using the Python script ConfigurationGenerator.py, and successive GROMACS runs can be performed by running the runall.sh Bash s...

Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials

Feb 20, 2023 - PN 6

Zaverkin, Viktor; Holzmüller, David; Bonfirraro, Luca; Kästner, Johannes, 2023, "Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials", https://doi.org/10.18419/darus-3299, DaRUS, V1

Pre-trained and fine-tuned ANI models using the Gaussian Moments Neural Network (GM-NN) approach. Code for GM-NN implemented within the Tensorflow framework, including the respective documentation and tutorials, can be found on GitLab. The data represents TensorFlow v2 checkpoint...

Enzymatically induced carbonate precipitation and its effect on capillary pressure-saturation relations of porous media - micro-XRCT dataset of low column (sample 10)

Jul 12, 2022 - Publication: Enzymatically induced carbonate precipitation

Ruf, Matthias; Hommel, Johannes; Steeb, Holger, 2022, "Enzymatically induced carbonate precipitation and its effect on capillary pressure-saturation relations of porous media - micro-XRCT dataset of low column (sample 10)", https://doi.org/10.18419/darus-2908, DaRUS, V1, UNF:6:lD3UlWjZQRaGPURMuWejpw== [fileUNF]

This dataset contains a micro X-ray Computed Tomography (micro-XRCT) data set (projection, reconstructed, and segmented images) from a sintered glass beads column packing with enzymatically induced carbonate precipitation. The prepared sintered glass beads column sample has a dia...

Enzymatically induced carbonate precipitation and its effect on capillary pressure-saturation relations of porous media - micro-XRCT dataset of high column (sample 4)

Jul 12, 2022 - Publication: Enzymatically induced carbonate precipitation

Ruf, Matthias; Hommel, Johannes; Steeb, Holger, 2022, "Enzymatically induced carbonate precipitation and its effect on capillary pressure-saturation relations of porous media - micro-XRCT dataset of high column (sample 4)", https://doi.org/10.18419/darus-2907, DaRUS, V1, UNF:6:ZBzSpg62B7xn5d+OtyUilg== [fileUNF]

This dataset contains micro X-ray Computed Tomography (micro-XRCT) data sets (projection, reconstructed, and segmented images) from a sintered glass beads column packing with enzymatically induced carbonate precipitation. The prepared sintered glass beads column sample has a diam...

Enzymatically induced carbonate precipitation and its effect on capillary pressure-saturation relations of porous media - micro-XRCT dataset of medium column (sample 3)

Jul 11, 2022 - Publication: Enzymatically induced carbonate precipitation

Ruf, Matthias; Hommel, Johannes; Steeb, Holger, 2022, "Enzymatically induced carbonate precipitation and its effect on capillary pressure-saturation relations of porous media - micro-XRCT dataset of medium column (sample 3)", https://doi.org/10.18419/darus-2906, DaRUS, V1, UNF:6:jlP3pZtBY1BpGYRex5PnqA== [fileUNF]

Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments

Oct 15, 2021 - PN 6

Zaverkin, Viktor; Holzmüller, David; Steinwart, Ingo; Kästner, Johannes, 2021, "Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments", https://doi.org/10.18419/darus-2136, DaRUS, V1

Code and documentation for the improved Gaussian Moments Neural Network (GM-NN). An updated version can be found on GitLab

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