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Carlos P Modenutti

Showing results (1-10 of 17) with videos related to

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Frontiers in Chemistry|December 19, 2019
The Structural Biology of Galectin-Ligand Recognition: Current Advances in Modeling Tools, Protein Engineering, and Inhibitor DesignCarlos P Modenutti, Juan I Blanco Capurro, Santiago Di Lella, et al.
Biochimie|February 8, 2022
MotSASi: Functional short linear motifs (SLiMs) prediction based on genomic single nucleotide variants and structural dataMariano Martín, Franco G Brunello, Carlos P Modenutti, et al.
Glycobiology|November 9, 2018
An efficient use of X-ray information, homology modeling, molecular dynamics and knowledge-based docking techniques to predict protein-monosaccharide complexesJuan I Blanco Capurro, Matias Di Paola, Marcelo Daniel Gamarra, et al.
Molecules (Basel, Switzerland)|December 15, 2018
Solvents to Fragments to Drugs: MD Applications in Drug DesignLucas A Defelipe, Juan Pablo Arcon, Carlos P Modenutti, et al.
Glycobiology|October 24, 2012
Solvent structure improves docking prediction in lectin-carbohydrate complexesDiego F Gauto, Ariel A Petruk, Carlos P Modenutti, et al.
G3 (Bethesda, Md.)|December 5, 2019
Origin and Evolution of Two Independently Duplicated Genes Encoding UDP- Glucose: Glycoprotein Glucosyltransferases in <i>Caenorhabditis</i> and VertebratesDiego A Caraballo, Lucila I Buzzi, Carlos P Modenutti, et al.
Journal of Chemical Information and Modeling|March 21, 2017
Molecular Dynamics in Mixed Solvents Reveals Protein-Ligand Interactions, Improves Docking, and Allows Accurate Binding Free Energy PredictionsJuan Pablo Arcon, Lucas A Defelipe, Carlos P Modenutti, et al.
Journal of Chemical Information and Modeling|August 3, 2019
Cosolvent-Based Protein Pharmacophore for Ligand Enrichment in Virtual ScreeningJuan Pablo Arcon, Lucas A Defelipe, Elias D Lopez, et al.
Bioinformatics (Oxford, England)|July 23, 2015
WATCLUST: a tool for improving the design of drugs based on protein-water interactionsElias D López, Juan Pablo Arcon, Diego F Gauto, et al.
Bioinformatics (Oxford, England)|March 3, 2019
AutoDock Bias: improving binding mode prediction and virtual screening using known protein-ligand interactionsJuan Pablo Arcon, Carlos P Modenutti, Demian Avendaño, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Frontiers in Chemistry|December 19, 2019
The Structural Biology of Galectin-Ligand Recognition: Current Advances in Modeling Tools, Protein Engineering, and Inhibitor DesignCarlos P Modenutti, Juan I Blanco Capurro, Santiago Di Lella, et al.
Biochimie|February 8, 2022
MotSASi: Functional short linear motifs (SLiMs) prediction based on genomic single nucleotide variants and structural dataMariano Martín, Franco G Brunello, Carlos P Modenutti, et al.
Glycobiology|November 9, 2018
An efficient use of X-ray information, homology modeling, molecular dynamics and knowledge-based docking techniques to predict protein-monosaccharide complexesJuan I Blanco Capurro, Matias Di Paola, Marcelo Daniel Gamarra, et al.
Molecules (Basel, Switzerland)|December 15, 2018
Solvents to Fragments to Drugs: MD Applications in Drug DesignLucas A Defelipe, Juan Pablo Arcon, Carlos P Modenutti, et al.
Glycobiology|October 24, 2012
Solvent structure improves docking prediction in lectin-carbohydrate complexesDiego F Gauto, Ariel A Petruk, Carlos P Modenutti, et al.
G3 (Bethesda, Md.)|December 5, 2019
Origin and Evolution of Two Independently Duplicated Genes Encoding UDP- Glucose: Glycoprotein Glucosyltransferases in <i>Caenorhabditis</i> and VertebratesDiego A Caraballo, Lucila I Buzzi, Carlos P Modenutti, et al.
Journal of Chemical Information and Modeling|March 21, 2017
Molecular Dynamics in Mixed Solvents Reveals Protein-Ligand Interactions, Improves Docking, and Allows Accurate Binding Free Energy PredictionsJuan Pablo Arcon, Lucas A Defelipe, Carlos P Modenutti, et al.
Journal of Chemical Information and Modeling|August 3, 2019
Cosolvent-Based Protein Pharmacophore for Ligand Enrichment in Virtual ScreeningJuan Pablo Arcon, Lucas A Defelipe, Elias D Lopez, et al.
Bioinformatics (Oxford, England)|July 23, 2015
WATCLUST: a tool for improving the design of drugs based on protein-water interactionsElias D López, Juan Pablo Arcon, Diego F Gauto, et al.
Bioinformatics (Oxford, England)|March 3, 2019
AutoDock Bias: improving binding mode prediction and virtual screening using known protein-ligand interactionsJuan Pablo Arcon, Carlos P Modenutti, Demian Avendaño, et al.
Pageof 2