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Simon Wengert

Showing results (1-10 of 9) with videos related to

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Journal of Chemical Theory and Computation|June 16, 2022
A Hybrid Machine Learning Approach for Structure Stability Prediction in Molecular Co-crystal ScreeningsSimon Wengert, Gábor Csányi, Karsten Reuter, et al.
Chemical Science|June 24, 2021
Data-efficient machine learning for molecular crystal structure predictionSimon Wengert, Gábor Csányi, Karsten Reuter, et al.
Frontiers in Oncology|October 25, 2017
A Trickster in Disguise: Hyaluronan's Ambivalent Roles in the MatrixLena Bohaumilitzky, Ann-Kathrin Huber, Eva Maria Stork, et al.
The Journal of Chemical Physics|December 21, 2023
wfl Python toolkit for creating machine learning interatomic potentials and related atomistic simulation workflowsElena Gelžinytė, Simon Wengert, Tamás K Stenczel, et al.
Accounts of Chemical Research|August 16, 2020
Mapping Materials and MoleculesBingqing Cheng, Ryan-Rhys Griffiths, Simon Wengert, et al.
Metabolites|September 23, 2022
Identification of the Transcription Factor ATF3 as a Direct and Indirect Regulator of the LDLRSabine Bauer, Jana Eigenmann, Yuqi Zhao, et al.
Nature Communications|July 3, 2023
Cancer lineage-specific regulation of YAP responsive elements revealed through large-scale functional epigenomic screensInês A M Barbosa, Rajaraman Gopalakrishnan, Samuele Mercan, et al.
Biomolecules|November 27, 2021
Vascular Tissue Specific miRNA Profiles Reveal Novel Correlations with Risk Factors in Coronary Artery DiseaseKatrīna D Neiburga, Baiba Vilne, Sabine Bauer, et al.
Science Advances|July 3, 2021
Systematic dissection of transcriptional regulatory networks by genome-scale and single-cell CRISPR screensRui Lopes, Kathleen Sprouffske, Caibin Sheng, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Journal of Chemical Theory and Computation|June 16, 2022
A Hybrid Machine Learning Approach for Structure Stability Prediction in Molecular Co-crystal ScreeningsSimon Wengert, Gábor Csányi, Karsten Reuter, et al.
Chemical Science|June 24, 2021
Data-efficient machine learning for molecular crystal structure predictionSimon Wengert, Gábor Csányi, Karsten Reuter, et al.
Frontiers in Oncology|October 25, 2017
A Trickster in Disguise: Hyaluronan's Ambivalent Roles in the MatrixLena Bohaumilitzky, Ann-Kathrin Huber, Eva Maria Stork, et al.
The Journal of Chemical Physics|December 21, 2023
wfl Python toolkit for creating machine learning interatomic potentials and related atomistic simulation workflowsElena Gelžinytė, Simon Wengert, Tamás K Stenczel, et al.
Accounts of Chemical Research|August 16, 2020
Mapping Materials and MoleculesBingqing Cheng, Ryan-Rhys Griffiths, Simon Wengert, et al.
Metabolites|September 23, 2022
Identification of the Transcription Factor ATF3 as a Direct and Indirect Regulator of the LDLRSabine Bauer, Jana Eigenmann, Yuqi Zhao, et al.
Nature Communications|July 3, 2023
Cancer lineage-specific regulation of YAP responsive elements revealed through large-scale functional epigenomic screensInês A M Barbosa, Rajaraman Gopalakrishnan, Samuele Mercan, et al.
Biomolecules|November 27, 2021
Vascular Tissue Specific miRNA Profiles Reveal Novel Correlations with Risk Factors in Coronary Artery DiseaseKatrīna D Neiburga, Baiba Vilne, Sabine Bauer, et al.
Science Advances|July 3, 2021
Systematic dissection of transcriptional regulatory networks by genome-scale and single-cell CRISPR screensRui Lopes, Kathleen Sprouffske, Caibin Sheng, et al.
Pageof 1