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Vinicius G Maltarollo

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European Journal of Pharmaceutical Sciences : Official Journal of the European Federation for Pharmaceutical Sciences|June 4, 2013
Computational studies of TGF-βRI (ALK-5) inhibitors: analysis of the binding interactions between ligand-receptor using 2D and 3D techniquesSheila C Araujo, Vinicius G Maltarollo, Kathia M Honorio
Journal of Molecular Modeling|December 17, 2009
Theoretical study on the molecular and electronic properties of some substances used for diabetes mellitus treatmentVinicius G Maltarollo, Paula Homem-de-Mello, Kathia M Honório
Plos One|March 14, 2015
Structure-based virtual screening and discovery of New PPARδ/γ dual agonist and PPARδ and γ agonistsVinicius G Maltarollo, Marie Togashi, Alessandro S Nascimento, et al.
Frontiers in Pharmacology|February 23, 2018
Transfer and Multi-task Learning in QSAR Modeling: Advances and ChallengesRodolfo S Simões, Vinicius G Maltarollo, Patricia R Oliveira, et al.
Journal of Biomolecular Structure & Dynamics|December 15, 2017
On the relationship of anthranilic derivatives structure and the FXR (Farnesoid X receptor) agonist activityThales Kronenberger, Björn Windshügel, Carsten Wrenger, et al.
Future Medicinal Chemistry|October 1, 2016
Understanding PPAR-δ affinity and selectivity using hologram quantitative structure-activity modeling, molecular docking and GRID calculationsVinicius G Maltarollo, Sheila C Araujo, Gustavo H G Trossini, et al.
Journal of Biomolecular Structure & Dynamics|May 5, 2016
Quantitative structure-activity relationships (HQSAR, CoMFA, and CoMSIA) studies for COX-2 selective inhibitorsRenan A Gomes, Giovani L Genesi, Vinicius G Maltarollo, et al.
Frontiers in Robotics and AI|January 27, 2021
Advances and Perspectives in Applying Deep Learning for Drug Design and DiscoveryCelio F Lipinski, Vinicius G Maltarollo, Patricia R Oliveira, et al.
Journal of Molecular Modeling|June 18, 2014
Understanding electrostatic and steric requirements related to hypertensive action of AT(1) antagonists using molecular modeling techniquesDanielle da C Silva, Vinicius G Maltarollo, Emmanuela Ferreira de Lima, et al.
Molecules (Basel, Switzerland)|January 16, 2020
Structure-Based Virtual Screening, Molecular Dynamics and Binding Free Energy Calculations of Hit Candidates as ALK-5 InhibitorsSheila C Araujo, Vinicius G Maltarollo, Michell O Almeida, et al.
Pageof 2

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

Sort By:
Pageof 2
European Journal of Pharmaceutical Sciences : Official Journal of the European Federation for Pharmaceutical Sciences|June 4, 2013
Computational studies of TGF-βRI (ALK-5) inhibitors: analysis of the binding interactions between ligand-receptor using 2D and 3D techniquesSheila C Araujo, Vinicius G Maltarollo, Kathia M Honorio
Journal of Molecular Modeling|December 17, 2009
Theoretical study on the molecular and electronic properties of some substances used for diabetes mellitus treatmentVinicius G Maltarollo, Paula Homem-de-Mello, Kathia M Honório
Plos One|March 14, 2015
Structure-based virtual screening and discovery of New PPARδ/γ dual agonist and PPARδ and γ agonistsVinicius G Maltarollo, Marie Togashi, Alessandro S Nascimento, et al.
Frontiers in Pharmacology|February 23, 2018
Transfer and Multi-task Learning in QSAR Modeling: Advances and ChallengesRodolfo S Simões, Vinicius G Maltarollo, Patricia R Oliveira, et al.
Journal of Biomolecular Structure & Dynamics|December 15, 2017
On the relationship of anthranilic derivatives structure and the FXR (Farnesoid X receptor) agonist activityThales Kronenberger, Björn Windshügel, Carsten Wrenger, et al.
Future Medicinal Chemistry|October 1, 2016
Understanding PPAR-δ affinity and selectivity using hologram quantitative structure-activity modeling, molecular docking and GRID calculationsVinicius G Maltarollo, Sheila C Araujo, Gustavo H G Trossini, et al.
Journal of Biomolecular Structure & Dynamics|May 5, 2016
Quantitative structure-activity relationships (HQSAR, CoMFA, and CoMSIA) studies for COX-2 selective inhibitorsRenan A Gomes, Giovani L Genesi, Vinicius G Maltarollo, et al.
Frontiers in Robotics and AI|January 27, 2021
Advances and Perspectives in Applying Deep Learning for Drug Design and DiscoveryCelio F Lipinski, Vinicius G Maltarollo, Patricia R Oliveira, et al.
Journal of Molecular Modeling|June 18, 2014
Understanding electrostatic and steric requirements related to hypertensive action of AT(1) antagonists using molecular modeling techniquesDanielle da C Silva, Vinicius G Maltarollo, Emmanuela Ferreira de Lima, et al.
Molecules (Basel, Switzerland)|January 16, 2020
Structure-Based Virtual Screening, Molecular Dynamics and Binding Free Energy Calculations of Hit Candidates as ALK-5 InhibitorsSheila C Araujo, Vinicius G Maltarollo, Michell O Almeida, et al.
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