Author

Sebastian Fernández-Alberti

National University of QuilmesORCID 0000-0002-0916-5069Unclaimed 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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Approach:deep learning· 2 Assay:protein structure· 2 Research Focus:protein structure prediction· 2

Frequent Co-Authors

Gustavo D. ParisiiD· 2 shared Juan Mac DonaghiD· 2 shared Marı́a Silvina FornasariiD· 2 shared Nahuel EscobedoiD· 2 shared Nicolás PalópoliiD· 2 shared Tadeo Enrique SaldañoiD· 2 shared Agustina García Melani· 1 shared Ana Julia Velez RuedaiD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Gustavo D. ParisiORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 18, 2023

Ghost interactions: revealing missing protein-ligand interactions using AlphaFold predictions

Nahuel Escobedo, Tadeo Enrique Saldaño, Juan Mac Donagh…·Gustavo D. Parisi

The paper uses AlphaFold2 to predict protein-ligand interactions in disordered regions, identifying 'ghost interactions' not captured in crystal structures.

5 citations

protein structuredeep learning

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedApr 5, 2022

Impact of protein conformational diversity on AlphaFold predictions

Tadeo Enrique Saldaño, Nahuel Escobedo, Julia Marchetti…·Gustavo D. Parisi

This study evaluates AlphaFold2's ability to predict ensemble protein conformations and finds it struggles with conformational diversity, with performance worsening as diversity increases.

196 citationstop 1%

protein structuredeep learning

𝕏 PostBluesky