Author

Frédéric Cadet

InsermORCID 0000-0002-3568-9595Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 4 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 4 Research Focus:database / resource· 3 Assay:protein sequence· 3 Research Focus:benchmarking· 2 Assay:protein structure· 2 Approach:machine learning (classical)· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1

Frequent Co-Authors

David Medina-OrtiziD· 4 shared Roberto Uribe-ParedesiD· 4 shared Marcelo A. NavarreteiD· 3 shared Mehdi D. DavariiD· 3 shared Nicole Soto-GarcíaiD· 3 shared Diego Álvarez-SaraviaiD· 2 shared Jorge González-PuelmaiD· 2 shared Julián Alfonso García - VinuesaiD· 2 shared

Activity by Year

2017-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

4 shared papersBioinformatics

David Medina-OrtizORCID

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

SilkRoute: A Descriptor-Driven Framework for Reproducible Multi-Source Biomolecular Data Acquisition

DIEGO FERNANDEZ, Julián Alfonso García - Vinuesa, Diego Álvarez-Saravia, Michelle Soto-García, José L. Medina‐Franco, Julieta Sepúlveda-Yáñez, Xavier F. Cadet, Frédéric Cadet, Mehdi D. Davari, Roberto Uribe-Paredes, Fabio Herrera‐Rocha, David Medina-Ortiz

SilkRoute provides a reproducible framework for constructing multi-source biomolecular datasets through descriptor-driven workflows.

bioRxiv · Aug 18, 2026 · PreprintBioinformatics

Data-Centric Evaluation of Protein Function Prediction Pipelines

Nicole Soto-García, Norma Murillo-Acevedo, Julián Alfonso García - Vinuesa, Ana Luisa Islas-Ávila, Mehdi D. Davari, Leandro Murgas, Ahmed Hassanin, Karen Oróstica, Jorge González-Puelma, Marcelo A. Navarrete, Alicia Martínez, Roberto Uribe-Paredes, Frédéric Cadet, David Medina-Ortiz

The paper evaluates how data preprocessing steps affect protein function prediction performance using antioxidant protein classification.

bioRxiv · Aug 11, 2026 · PreprintBioinformatics

MAOMAO: An Ontology-Guided FAIR Resource for Harmonized Peptide Toxicity Data

Nicole Soto-García, Roberto Uribe-Paredes, Leandro Murgas, Karen Oróstica, Jorge González-Puelma, Marcelo A. Navarrete, Frédéric Cadet, David Medina-Ortiz

MAOMAO integrates and harmonizes peptide toxicity data from 54 sources to create a FAIR resource with standardized terminology and benchmark partitions for toxicity research.

bioRxiv · Aug 4, 2026 · PreprintPharmacology & Toxicology

Peptipedia v2.0: A peptide sequence database and user-friendly web platform. A major update

Gabriel Cabas-Mora, Anamaria Sanchez–Daza, Nicole Soto-García, Valentina Garrido, Diego Álvarez-Saravia, Marcelo A. Navarrete, Lindybeth Sarmiento Varón, Julieta Sepúlveda-Yáñez, Mehdi D. Davari, Frédéric Cadet, Álvaro Olivera‐Nappa, Roberto Uribe-Paredes, David Medina-Ortiz

Peptipedia v2.0 expands its peptide database by 45% and integrates machine learning models to annotate peptide sequences with biological activities.

Database · Jan 1, 2024Peer-reviewedBioinformatics

PB-kPRED: Knowledge-Based Prediction Of Protein Backbone Conformation Using A Structural Alphabet

Iyanar Vetrivel, Swapnil Mahajan, Manoj Tyagi, Lionel Hoffmann, Yves‐Henri Sanejouand, Narayanaswamy Srinivasan, Alexandre G. de Brevern, Frédéric Cadet, Bernard Offmann

The paper introduces kPred, a knowledge-based method for predicting protein backbone conformations using structural prototypes, achieving mean Q16 accuracies between 40.8% and 66.3%.

PLoS ONE · Nov 21, 2017Peer-reviewedBioinformatics