Author

Carlos Pintado‐Grima

Universitat Autònoma de BarcelonaORCID 0000-0002-8544-959XUnclaimed 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:benchmarking· 1 Approach:contrastive learning· 1 Organism:human· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Salvador VenturaiD· 2 shared F. Emil ThomaseniD· 1 shared Giulio TeseiiD· 1 shared Jaime SantosiD· 1 shared Kresten Lindorff‐LarseniD· 1 shared Marc Fornt‐SuñéiD· 1 shared Oriol BárcenasiD· 1 shared Valentín IglesiasiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 16 mutual co-author links

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2 shared papersBioinformatics

Salvador VenturaORCID

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2 papers

Recent·Most cited

Full-Length Molecular Models of Brain-Derived α-Synuclein Fibrils Reveal a Fuzzy-Coat-Mediated Mechanism for Selective Peptide Binding

Carlos Pintado‐Grima, Oriol Bárcenas, Giulio Tesei, F. Emil Thomasen, Kresten Lindorff‐Larsen, Salvador Ventura

bioRxiv · Apr 20, 2026 · PreprintBioinformatics

Prediction of the effect of pH on the aggregation and conditional folding of intrinsically disordered proteins with SolupHred and DispHred.

Valentín Iglesias, Carlos Pintado‐Grima, Jaime Santos, Marc Fornt‐Suñé, Salvador Ventura

The paper introduces two web servers, SolupHred and DispHred, to predict pH-dependent aggregation and disorder in intrinsically disordered proteins.

Methods in molecular biology · Jan 1, 2022Peer-reviewedBioinformatics