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Maria A Miteva

Showing results (11-20 of 88) with videos related to

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Nucleic Acids Research|June 28, 2005
PCE: web tools to compute protein continuum electrostaticsMaria A Miteva, Pierre Tufféry, Bruno O Villoutreix
Combinatorial Chemistry & High Throughput Screening|December 23, 2009
Structure-based virtual ligand screening: recent success storiesBruno O Villoutreix, Richard Eudes, Maria A Miteva
ACS Omega|October 14, 2024
Machine Learning and Deep Learning Models for Predicting Noncovalent Inhibitors of AmpC β-LactamaseYoucef Bagdad, Marion Sisquellas, Michel Arthur, et al.
International Journal of Molecular Sciences|December 9, 2023
Role of Conformational Dynamics of Sulfotransferases SULT1A1 and SULT1A3 in Substrate SpecificityDaniel Toth, Balint Dudas, Maria A Miteva, et al.
Computational and Mathematical Methods in Medicine|May 12, 2012
Analyzing effects of naturally occurring missense mutationsZhe Zhang, Maria A Miteva, Lin Wang, et al.
Current Computer-Aided Drug Design|October 31, 2012
Post-docking optimization and analysis of protein-ligand interactions of estrogen receptor alpha using AMMOS softwareTania Pencheva, Dessislava Jereva, Maria A Miteva, et al.
BMC Bioinformatics|April 12, 2008
MS-DOCK: accurate multiple conformation generator and rigid docking protocol for multi-step virtual ligand screeningNicolas Sauton, David Lagorce, Bruno O Villoutreix, et al.
European Journal of Medicinal Chemistry|March 16, 2010
Post-docking virtual screening of diverse binding pockets: comparative study using DOCK, AMMOS, X-Score and FRED scoring functionsTania Pencheva, Oumarou Samna Soumana, Ilza Pajeva, et al.
Drug Discovery Today|July 6, 2017
Pan-assay interference compounds (PAINS) that may not be too painful for chemical biology projectsDavid Lagorce, Natacha Oliveira, Maria A Miteva, et al.
Scientific Reports|April 12, 2017
Computational analysis of calculated physicochemical and ADMET properties of protein-protein interaction inhibitorsDavid Lagorce, Dominique Douguet, Maria A Miteva, et al.
Pageof 9

Showing results (11-20 of 88) with videos related to

Sort By:
Pageof 9
Nucleic Acids Research|June 28, 2005
PCE: web tools to compute protein continuum electrostaticsMaria A Miteva, Pierre Tufféry, Bruno O Villoutreix
Combinatorial Chemistry & High Throughput Screening|December 23, 2009
Structure-based virtual ligand screening: recent success storiesBruno O Villoutreix, Richard Eudes, Maria A Miteva
ACS Omega|October 14, 2024
Machine Learning and Deep Learning Models for Predicting Noncovalent Inhibitors of AmpC β-LactamaseYoucef Bagdad, Marion Sisquellas, Michel Arthur, et al.
International Journal of Molecular Sciences|December 9, 2023
Role of Conformational Dynamics of Sulfotransferases SULT1A1 and SULT1A3 in Substrate SpecificityDaniel Toth, Balint Dudas, Maria A Miteva, et al.
Computational and Mathematical Methods in Medicine|May 12, 2012
Analyzing effects of naturally occurring missense mutationsZhe Zhang, Maria A Miteva, Lin Wang, et al.
Current Computer-Aided Drug Design|October 31, 2012
Post-docking optimization and analysis of protein-ligand interactions of estrogen receptor alpha using AMMOS softwareTania Pencheva, Dessislava Jereva, Maria A Miteva, et al.
BMC Bioinformatics|April 12, 2008
MS-DOCK: accurate multiple conformation generator and rigid docking protocol for multi-step virtual ligand screeningNicolas Sauton, David Lagorce, Bruno O Villoutreix, et al.
European Journal of Medicinal Chemistry|March 16, 2010
Post-docking virtual screening of diverse binding pockets: comparative study using DOCK, AMMOS, X-Score and FRED scoring functionsTania Pencheva, Oumarou Samna Soumana, Ilza Pajeva, et al.
Drug Discovery Today|July 6, 2017
Pan-assay interference compounds (PAINS) that may not be too painful for chemical biology projectsDavid Lagorce, Natacha Oliveira, Maria A Miteva, et al.
Scientific Reports|April 12, 2017
Computational analysis of calculated physicochemical and ADMET properties of protein-protein interaction inhibitorsDavid Lagorce, Dominique Douguet, Maria A Miteva, et al.
Pageof 9