Author

Artur Christian Garcia da Silva

Universidade Federal de GoiásORCID 0000-0001-7790-9771Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:graph neural network· 1

Frequent Co-Authors

Bruno Junior NevesiD· 1 shared Eder Soares de Almeida SantosiD· 1 shared Eugene N. MuratoviD· 1 shared Gustavo Santos Sandes FelizardoiD· 1 shared Holli‐Joi MartiniD· 1 shared Rodolpho C. BragaiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperPharmacology & Toxicology

Bruno Junior NevesORCID

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1 paper

Recent·Most cited

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

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