Author

Rafael Giordano Viegas

Federal Institute of São PauloORCID 0000-0002-6102-3375Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biophysics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:protein folding & dynamics· 1 Assay:proteomics· 1

Frequent Co-Authors

Ingrid B. S. MartinsiD· 2 shared Ingrid B. S. MartinsiD· 2 shared Antonio Bento de Oliveira JunioriD· 1 shared Fernando V. PaulovichiD· 1 shared Juliana B. de CamargoiD· 1 shared Murilo N. SanchesiD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

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6 top collaborators · 15 mutual co-author links

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2 shared papersBiophysics

Ingrid B. S. MartinsORCID

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2 papers

Recent·Most cited

BiophysicsJournal of Chemical Information and ModelingPeer-reviewedMay 7, 2024

Understanding the Energy Landscape of Intrinsically Disordered Protein Ensembles

Rafael Giordano Viegas, Ingrid B. S. Martins, Vitor B. P. Leite

This study uses ELViM to analyze IDP ensembles from PED, validating their sampling and identifying prevalent conformations and differences across conditions.

14 citations

proteomicsdeep learning

𝕏 PostBluesky

BiophysicsJournal of Chemical Information and ModelingPeer-reviewedMar 20, 2024

ELViM: Understanding Molecular Energy Landscape

Rafael Giordano Viegas, Ingrid B. S. Martins, Murilo N. Sanches…·Vitor B. P. Leite

ELViM is a multidimensional reduction technique for analyzing MD simulation data, demonstrating its ability to visualize complex biomolecular conformational landscapes.

37 citationstop 4%

deep learningstatistical model

𝕏 PostBluesky