Author

Eder Soares de Almeida Santos

Universidade Federal de GoiásORCID 0000-0002-4137-9921Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Immunology· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:biophysical modeling· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Bruno Junior NevesiD· 2 shared Anthony Gabry da SilveiraiD· 1 shared Ari WaismaniD· 1 shared Artur Christian Garcia da SilvaiD· 1 shared Beatriz Leocata· 1 shared Camila Pontes FerreiraiD· 1 shared Carlos Frederico Martins MenckiD· 1 shared Eloísa Martins da SilvaiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersImmunology

Bruno Junior NevesORCID

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2 papers

Recent·Most cited

ImmunologyNature CommunicationsPeer-reviewedApr 1, 2026

Th17 cells require the DNA repair sensor XPC to control oxidative DNA damage

Jefferson Antônio Leite, Natalia Notarberardino Bos, Luísa Menezes-Silva…·Niels Olsen Saraiva Câmara

This study identifies XPC as essential for protecting Th17 cells from oxidative DNA damage, showing its role in DNA repair, differentiation, and function.

DOI 10.1038/s41467-026-69914-y

mouseDNA methylation

𝕏 PostBluesky

Pharmacology & ToxicologybioRxivPreprintSep 16, 2025

Multimodal Cross-Attentive Graph-Based Framework for Predicting In Vivo Endocrine Disruptors

Eder Soares de Almeida Santos, Gustavo Santos Sandes Felizardo, Artur Christian Garcia da Silva…·Bruno Junior Neves

The paper presents a framework that predicts endocrine disruptors using a multimodal cross-attentive graph model, achieving high accuracy and providing mechanistic explanations.

DOI 10.1101/2025.09.16.676584

deep learninggraph neural network

𝕏 PostBluesky