Author

Cesar Osvaldo Leonetti

Universidad Abierta InteramericanaORCID 0000-0002-8525-0564Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 1 Approach:deep learning· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

Di MengiD· 2 shared Gianluca PollastriiD· 2 shared Heli M. Garcia AlvareziD· 2 shared Juliana GlavinaiD· 2 shared Lucia Beatriz ChemesiD· 2 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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2 shared papersBioinformatics

Di MengORCID

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2 papers

Recent·Most cited

Expanding the Landscape of Disordered Flexible Linkers: A Structural and Computational Framework for DLD dataset assembly

Di Meng, Juliana Glavina, Heli M. Garcia Alvarez, Cesar Osvaldo Leonetti, Gianluca Pollastri, Lucia Beatriz Chemes

The paper introduces a classification framework for disordered flexible linkers and creates a comprehensive dataset of 1640 domain linkers, annotated with structural and sequence features.

Journal of Molecular Biology · Aug 21, 2026Peer-reviewedBioinformatics

LINKER-Pred: A Deep Learning Method and Web-Server for the Prediction of Disordered Flexible Linkers in Proteins

Di Meng, Heli M. Garcia Alvarez, Juliana Glavina, Cesar Osvaldo Leonetti, Gianluca Pollastri, Lucia Beatriz Chemes

LINKER-Pred provides deep learning tools to predict disordered flexible linkers in proteins using sequence data, achieving state-of-the-art performance on benchmarks.

bioRxiv · Oct 29, 2025 · PreprintBioinformatics