Author

Eduardo Krempser

Fundação Oswaldo CruzORCID 0000-0002-4652-442XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 2 Research Focus:database / resource· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Research Focus:sequence-to-function modeling· 1

Frequent Co-Authors

Douglas A. AugustoiD· 2 shared Márcia ChameiD· 2 shared Ana Carolina Ramos GuimarãesiD· 1 shared Hélio J. C. BarbosaiD· 1 shared Jaqueline S. AngeloiD· 1 shared João SartoriiD· 1 shared Lívia Abdala· 1 shared Livia dos Santos AbdallaiD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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2 shared papersBioinformatics

Douglas A. AugustoORCID

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Author profile →

3 papers

Recent·Most cited

An index-based system for early alerts of potential zoonotic disease outbreaks

Jaqueline S. Angelo, Lívia Abdala, Douglas A. Augusto, Márcia Chame, Eduardo Krempser

The paper introduces a dynamic alert system using a Zoonotic Alert Index to improve disease outbreak detection in wildlife, validated with yellow fever data achieving over 94% accuracy.

PLoS ONE · Aug 25, 2026Peer-reviewedBioinformatics

A Genetic Algorithm to scour protein sequence space: A novel framework for protein engineering using protein language models and force fields

João Sartori, Eduardo Krempser, Ana Carolina Ramos Guimarães, Lucas de Almeida Machado

GAPO uses genetic algorithms with protein language models and force fields to optimize protein sequences, outperforming simulated annealing in binding and stability.

bioRxiv · Oct 29, 2025 · PreprintBioinformatics

SISS-Geo: Leveraging Citizen Science to Monitor Wildlife Health Risks in Brazil

Márcia Chame, Hélio J. C. Barbosa, Luiz M. R. Gadelha Jr., Douglas A. Augusto, Eduardo Krempser, Livia dos Santos Abdalla

SISS-Geo is a collaborative platform for monitoring wildlife health in Brazil, integrating citizen science, laboratory diagnostics, and computational tools to address challenges in disease surveillance and risk prediction.

Journal of Healthcare Informatics Research · Jul 3, 2019Peer-reviewedBioinformatics