Author

Gabriel Tiago Galdino

Université de MontréalORCID 0000-0001-6436-6026Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:protein structure· 1 Research Focus:software / tool· 1 Approach:statistical model· 1 Assay:structural biology· 1

Frequent Co-Authors

Rafaël NajmanovichiD· 2 shared Natália TerueliD· 1 shared Olivier MailhotiD· 1 shared Thomas DesCôteauxiD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 4 mutual co-author links

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2 shared papersBiophysics

Rafaël NajmanovichORCID

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2 papers

Recent·Most cited

BiophysicsBioinformatics AdvancesPeer-reviewedDec 26, 2024

NRGSuite-Qt: A PyMOL plugin for high-throughput virtual screening, molecular docking, normal-mode analysis, the study of molecular interactions and the detection of binding-site similarities

Gabriel Tiago Galdino, Thomas DesCôteaux, Natália Teruel, Rafaël Najmanovich

NRGSuite-Qt is a PyMOL plugin that integrates multiple tools for protein modeling and analysis, improving workflow efficiency and performance in normal mode analysis.

8 citations

protein structureexperimental assay

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BiophysicsJournal of Chemical Information and ModelingPeer-reviewedNov 4, 2024

Understanding and predicting ligand efficacy in the mu-opioid receptor through quantitative dynamical analysis of complex structures

Gabriel Tiago Galdino, Olivier Mailhot, Rafaël Najmanovich

This study predicts ligand efficacy in the mu-opioid receptor using dynamic analysis and machine learning, showing dynamics are critical for accurate predictions.

3 citations

humanstructural biology

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