Bernhard Knapp
Orcid: 0000-0002-5714-7105
According to our database1,
Bernhard Knapp
authored at least 26 papers
between 2009 and 2023.
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Bibliography
2023
Why current rain denoising models fail on CycleGAN created rain images in autonomous driving.
CoRR, 2023
2019
PLoS Comput. Biol., 2019
HLA-DM Stabilizes the Empty MHCII Binding Groove: A Model Using Customized Natural Move Monte Carlo.
J. Chem. Inf. Model., 2019
2018
pyHVis3D: visualising molecular simulation deduced H-bond networks in 3D: application to T-cell receptor interactions.
Bioinform., 2018
2017
2016
J. Chem. Inf. Model., 2016
Exploring peptide/MHC detachment processes using hierarchical natural move Monte Carlo.
Bioinform., 2016
2015
PLoS Comput. Biol., 2015
Current status and future challenges in T-cell receptor/peptide/MHC molecular dynamics simulations.
Briefings Bioinform., 2015
2014
Large Scale Characterization of the LC13 TCR and HLA-B8 Structural Landscape in Reaction to 172 Altered Peptide Ligands: A Molecular Dynamics Simulation Study.
PLoS Comput. Biol., 2014
Examining Variable Domain Orientations in Antigen Receptors Gives Insight into TCR-Like Antibody Design.
PLoS Comput. Biol., 2014
J. Chem. Inf. Model., 2014
J. Comput. Chem., 2014
2013
J. Comput. Chem., 2013
J. Comput. Chem., 2013
2012
MH<sup>2</sup>c: Characterization of major histocompatibility α-helices - an information criterion approach.
Comput. Phys. Commun., 2012
Comput. Math. Methods Medicine, 2012
2011
Is an Intuitive Convergence Definition of Molecular Dynamics Simulations Solely Based on the Root Mean Square Deviation Possible?
J. Comput. Biol., 2011
BMC Bioinform., 2011
2010
J. Comput. Chem., 2010
2009
jSimMacs for GROMACS: A Java Application for Advanced Molecular Dynamics Simulations with Remote Access Capability.
J. Chem. Inf. Model., 2009
A critical cross-validation of high throughput structural binding prediction methods for pMHC.
J. Comput. Aided Mol. Des., 2009