Author

Claudio David Schuster

Consejo Nacional de Investigaciones Científicas y TécnicasORCID 0000-0003-4002-3840Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Alfonso ValenciaiD· 1 shared Camila Ferreira Thé PontesiD· 1 shared Carlos Pablo ModenuttiiD· 1 shared César A. Ramírez‐SarmientoiD· 1 shared Cristian R. RodrigueziD· 1 shared Diego Ulises FerreiroiD· 1 shared Eliana Rosa MunarriziD· 1 shared Ezequiel Jorge SosaiD· 1 shared

Activity by Year

2023-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperBioinformatics

Alfonso ValenciaORCID

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3 papers

Recent·Most cited

BioinformaticsFrontiers in ChemistryPeer-reviewedAug 13, 2026

A structure and function-based complete mutational map of Human Hemoglobin using AI

Franco Salvatore, Franco G. Brunello, Claudio David Schuster, Marcelo A. Marti

The paper develops a pathogenicity prediction model for hemoglobin variants using structure-informed features and ML, showing strong performance compared to AlphaMissense and providing a complete mutational landscape for HbA.

1 citation

humanprotein sequence

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BioinformaticsbioRxivPreprintJul 19, 2023

Hidden Markov Models based search in combination with structural bioinformatics pipeline leads to the identification of DAF-12 distant orthologous in Meloidogyne incognita

Claudio David Schuster, Vanessa J. Santillán, Rafael Betanzos San Juan…·Carlos Pablo Modenutti

The paper identifies DAF-12 orthologs in Meloidogyne incognita using HMM-based sequence search and structural bioinformatics, showing conserved ligand binding site despite low sequence similarity.

DOI 10.1101/2023.07.19.549723

statistical modelexperimental assay

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BioinformaticsbioRxivPreprintJan 25, 2023

The Evolution of Local Energetic Frustration in Protein Families

María Inés Freiberger, Victoria Ruiz‐Serra, Camila Ferreira Thé Pontes…·Alfonso Valencia

The paper analyzes local energetic frustration in protein families to uncover stability and function constraints, demonstrating its application to SARS-CoV-2 and poorly characterized proteins.

3 citations

virusprotein structure

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