Author

Rafael Consolin Chelucci

Universidade de São PauloORCID 0009-0008-4099-9986Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Adriano Defini AndricopuloiD· 1 shared Alexandra Maria dos Santos CarvalhoiD· 1 shared Bruno Junior NevesiD· 1 shared Clarissa Alves Carneiro BernardesiD· 1 shared Eugene N. MuratoviD· 1 shared Felipe da Silva Mendonça de Melo· 1 shared Gustavo Santos Sandes FelizardoiD· 1 shared Holli‐Joi MartiniD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Adriano Defini AndricopuloORCID

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1 paper

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