Author

Ingrid B. S. Martins

Universidade Estadual Paulista (Unesp)ORCID 0000-0001-9970-6035Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Vitor B. P. Leite2 papers · Instituto de Biociências, Letras e Ciências Exatas, câmpus de São José do Rio Preto

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Approach:statistical model· 3 Research Focus:protein folding & dynamics· 2 Research Focus:benchmarking· 1 Assay:proteomics· 1 Assay:structural biology· 1 Organism:virus· 1

Frequent Co-Authors

Rafael Giordano ViegasiD· 2 shared Alexandre Suman de AraújoiD· 1 shared Antonio Bento de Oliveira JunioriD· 1 shared Fernando V. PaulovichiD· 1 shared Georcki Ropón‐PalaciosiD· 1 shared Juliana B. de CamargoiD· 1 shared Luís Gustavo Fávaro CrespiiD· 1 shared Murilo N. SanchesiD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersBiophysics

Rafael Giordano ViegasORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

BiophysicsJournal of Chemical Information and ModelingPeer-reviewedSep 4, 2026

Synergistic Effects of pH and Temperature on Dengue VirusEnvelope Dimers: Insights from Microsecond MolecularDynamics Simulations

Georcki Ropón‐Palacios, Luís Gustavo Fávaro Crespi, Ingrid B. S. Martins…·Alexandre Suman de Araújo

This study uses molecular dynamics simulations to show how pH and temperature together destabilize dengue virus envelope dimers, revealing a 'compensatory embrace' mechanism and potential targets for antiviral drugs.

DOI 10.1021/acs.jcim.6c01334

virusstructural biology

𝕏 PostBluesky

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

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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

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