Author

Gustavo Santos Sandes Felizardo

Universidade Federal de GoiásORCID 0000-0002-0591-5133Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Approach:graph neural network· 2 Research Focus:benchmarking· 1

Frequent Co-Authors

Bruno Junior NevesiD· 2 shared Eugene N. MuratoviD· 2 shared Holli‐Joi MartiniD· 2 shared Rodolpho C. BragaiD· 2 shared Adriano Defini AndricopuloiD· 1 shared Alexandra Maria dos Santos CarvalhoiD· 1 shared Artur Christian Garcia da SilvaiD· 1 shared Clarissa Alves Carneiro BernardesiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Bruno Junior NevesORCID

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2 papers

Recent·Most cited

Semantic-Aware Graph Embedding Approach Uncovers LC-61, a Potent Anti-Leishmania infantum Compound

Vinícius Alexandre Fiaia Costa, Alexandra Maria dos Santos Carvalho, Rafael Consolin Chelucci, Felipe da Silva Mendonça de Melo, Gustavo Santos Sandes Felizardo, Clarissa Alves Carneiro Bernardes, Holli‐Joi Martin, Rodolpho C. Braga, Sébastien Olivier Charneau, Eugene N. Muratov, Adriano Defini Andricopulo, Izabela Marques Dourado Bastos, Bruno Junior Neves

The paper introduces a semantic-aware graph neural network framework for drug discovery, identifying LC-61 as a potent antileishmanial compound with nanomolar activity.

bioRxiv · Nov 19, 2025 · PreprintBioinformatics

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, Holli‐Joi Martin, Eugene N. Muratov, Rodolpho C. Braga, 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.

bioRxiv · Sep 16, 2025 · PreprintPharmacology & Toxicology