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Bernhard Knapp

Showing results (11-20 of 50) with videos related to

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BMC Bioinformatics|June 18, 2011
PeptX: using genetic algorithms to optimize peptides for MHC bindingBernhard Knapp, Verena Giczi, Reiner Ribarics, et al.
Journal of Computer-Aided Molecular Design|February 6, 2009
A critical cross-validation of high throughput structural binding prediction methods for pMHCBernhard Knapp, Ulrich Omasits, Sophie Frantal, et al.
Journal of Chemical Information and Modeling|May 10, 2019
HLA-DM Stabilizes the Empty MHCII Binding Groove: A Model Using Customized Natural Move Monte CarloSamuel Demharter, Bernhard Knapp, Charlotte Deane, et al.
Plos One|February 10, 2023
Correlating global trends in COVID-19 cases with online symptom checker self-assessmentsMarc Zobel, Bernhard Knapp, Jama Nateqi, et al.
Briefings in Bioinformatics|March 1, 2015
Current status and future challenges in T-cell receptor/peptide/MHC molecular dynamics simulationsBernhard Knapp, Samuel Demharter, Reyhaneh Esmaielbeiki, et al.
Journal of Chemical Theory and Computation|June 16, 2017
Variable Regions of Antibodies and T-Cell Receptors May Not Be Sufficient in Molecular Simulations Investigating BindingBernhard Knapp, James Dunbar, Marta Alcala, et al.
Plos One|July 27, 2010
A comparative approach linking molecular dynamics of altered peptide ligands and MHC with in vivo immune responsesBernhard Knapp, Ulrich Omasits, Wolfgang Schreiner, et al.
Biophysical Journal|August 26, 2016
Modeling Functional Motions of Biological Systems by Customized Natural MovesSamuel Demharter, Bernhard Knapp, Charlotte M Deane, et al.
Bioinformatics (Oxford, England)|September 24, 2015
Exploring peptide/MHC detachment processes using hierarchical natural move Monte CarloBernhard Knapp, Samuel Demharter, Charlotte M Deane, et al.
Bioinformatics (Oxford, England)|October 14, 2017
In silico structural modeling of multiple epigenetic marks on DNAKonrad Krawczyk, Samuel Demharter, Bernhard Knapp, et al.
Pageof 5

Showing results (11-20 of 50) with videos related to

Sort By:
Pageof 5
BMC Bioinformatics|June 18, 2011
PeptX: using genetic algorithms to optimize peptides for MHC bindingBernhard Knapp, Verena Giczi, Reiner Ribarics, et al.
Journal of Computer-Aided Molecular Design|February 6, 2009
A critical cross-validation of high throughput structural binding prediction methods for pMHCBernhard Knapp, Ulrich Omasits, Sophie Frantal, et al.
Journal of Chemical Information and Modeling|May 10, 2019
HLA-DM Stabilizes the Empty MHCII Binding Groove: A Model Using Customized Natural Move Monte CarloSamuel Demharter, Bernhard Knapp, Charlotte Deane, et al.
Plos One|February 10, 2023
Correlating global trends in COVID-19 cases with online symptom checker self-assessmentsMarc Zobel, Bernhard Knapp, Jama Nateqi, et al.
Briefings in Bioinformatics|March 1, 2015
Current status and future challenges in T-cell receptor/peptide/MHC molecular dynamics simulationsBernhard Knapp, Samuel Demharter, Reyhaneh Esmaielbeiki, et al.
Journal of Chemical Theory and Computation|June 16, 2017
Variable Regions of Antibodies and T-Cell Receptors May Not Be Sufficient in Molecular Simulations Investigating BindingBernhard Knapp, James Dunbar, Marta Alcala, et al.
Plos One|July 27, 2010
A comparative approach linking molecular dynamics of altered peptide ligands and MHC with in vivo immune responsesBernhard Knapp, Ulrich Omasits, Wolfgang Schreiner, et al.
Biophysical Journal|August 26, 2016
Modeling Functional Motions of Biological Systems by Customized Natural MovesSamuel Demharter, Bernhard Knapp, Charlotte M Deane, et al.
Bioinformatics (Oxford, England)|September 24, 2015
Exploring peptide/MHC detachment processes using hierarchical natural move Monte CarloBernhard Knapp, Samuel Demharter, Charlotte M Deane, et al.
Bioinformatics (Oxford, England)|October 14, 2017
In silico structural modeling of multiple epigenetic marks on DNAKonrad Krawczyk, Samuel Demharter, Bernhard Knapp, et al.
Pageof 5