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Journal of Computer-Aided Molecular Design
|
June 21, 2012
Multi-task learning for pKa prediction
Grigorios Skolidis, Katja Hansen, Guido Sanguinetti, et al.
Journal of Chemical Information and Modeling
|
December 21, 2010
StructRank: a new approach for ligand-based virtual screening
Fabian Rathke, Katja Hansen, Ulf Brefeld, et al.
Molecular Informatics
|
July 29, 2016
Visual Interpretation of Kernel-Based Prediction Models
Katja Hansen, David Baehrens, Timon Schroeter, et al.
Physical Review Letters
|
September 26, 2012
Finding density functionals with machine learning
John C Snyder, Matthias Rupp, Katja Hansen, et al.
Biological Chemistry
|
June 15, 2019
In vitro import experiments with semi-intact cells suggest a role of the Sec61 paralog Ssh1 in mitochondrial biogenesis
Janina Laborenz, Katja Hansen, Cristina Prescianotto-Baschong, et al.
The Journal of Chemical Physics
|
December 17, 2013
Orbital-free bond breaking via machine learning
John C Snyder, Matthias Rupp, Katja Hansen, et al.
The Journal of Chemical Physics
|
May 16, 2012
Optimizing transition states via kernel-based machine learning
Zachary D Pozun, Katja Hansen, Daniel Sheppard, et al.
Journal of Chemical Information and Modeling
|
May 14, 2009
Bias-correction of regression models: a case study on hERG inhibition
Katja Hansen, Fabian Rathke, Timon Schroeter, et al.
The Journal of Physical Chemistry Letters
|
June 27, 2015
Machine Learning Predictions of Molecular Properties: Accurate Many-Body Potentials and Nonlocality in Chemical Space
Katja Hansen, Franziska Biegler, Raghunathan Ramakrishnan, et al.
The FEBS Journal
|
December 8, 2025
The ribosome-associated complex regulates cytosolic translation upon mitoprotein-induced stress
Jiaxin Qian, Annika Nutz, Katja Hansen, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 17) with videos related to
Sort By:
Page
of 2
Journal of Computer-Aided Molecular Design
|
June 21, 2012
Multi-task learning for pKa prediction
Grigorios Skolidis, Katja Hansen, Guido Sanguinetti, et al.
Journal of Chemical Information and Modeling
|
December 21, 2010
StructRank: a new approach for ligand-based virtual screening
Fabian Rathke, Katja Hansen, Ulf Brefeld, et al.
Molecular Informatics
|
July 29, 2016
Visual Interpretation of Kernel-Based Prediction Models
Katja Hansen, David Baehrens, Timon Schroeter, et al.
Physical Review Letters
|
September 26, 2012
Finding density functionals with machine learning
John C Snyder, Matthias Rupp, Katja Hansen, et al.
Biological Chemistry
|
June 15, 2019
In vitro import experiments with semi-intact cells suggest a role of the Sec61 paralog Ssh1 in mitochondrial biogenesis
Janina Laborenz, Katja Hansen, Cristina Prescianotto-Baschong, et al.
The Journal of Chemical Physics
|
December 17, 2013
Orbital-free bond breaking via machine learning
John C Snyder, Matthias Rupp, Katja Hansen, et al.
The Journal of Chemical Physics
|
May 16, 2012
Optimizing transition states via kernel-based machine learning
Zachary D Pozun, Katja Hansen, Daniel Sheppard, et al.
Journal of Chemical Information and Modeling
|
May 14, 2009
Bias-correction of regression models: a case study on hERG inhibition
Katja Hansen, Fabian Rathke, Timon Schroeter, et al.
The Journal of Physical Chemistry Letters
|
June 27, 2015
Machine Learning Predictions of Molecular Properties: Accurate Many-Body Potentials and Nonlocality in Chemical Space
Katja Hansen, Franziska Biegler, Raghunathan Ramakrishnan, et al.
The FEBS Journal
|
December 8, 2025
The ribosome-associated complex regulates cytosolic translation upon mitoprotein-induced stress
Jiaxin Qian, Annika Nutz, Katja Hansen, et al.
Page
of 2