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Claudio Mirabello
Claudio Mirabello
Linköping University, National Bioinformatics Infrastructure Sweden
Verified email at scilifelab.se
Title
Cited by
Cited by
Year
Critical assessment of protein intrinsic disorder prediction
DPCSCET Marco Necci, Damiano Piovesan, CAID Predictors
Nature Methods 18, 472–481, 2019
274*2019
Porter, PaleAle 4.0: high-accuracy prediction of protein secondary structure and relative solvent accessibility
C Mirabello, G Pollastri
Bioinformatics 29 (16), 2056-2058, 2013
1522013
rawMSA: end-to-end deep learning using raw multiple sequence alignments
C Mirabello, B Wallner
PloS one 14 (8), e0220182, 2019
902019
Predicting protein-peptide interaction sites using distant protein complexes as structural templates
I Johansson-Åkhe, C Mirabello, B Wallner
Scientific reports 9 (1), 4267, 2019
692019
Limited access to antigen drives generation of early B cell memory while restraining the plasmablast response
V Glaros, R Rauschmeier, AV Artemov, A Reinhardt, S Ols, ...
Immunity 54 (9), 2005-2023. e10, 2021
672021
Toward an accurate prediction of inter-residue distances in proteins using 2D recursive neural networks
P Kukic, C Mirabello, G Tradigo, I Walsh, P Veltri, G Pollastri
BMC bioinformatics 15, 1-15, 2014
582014
InterPred: a pipeline to identify and model protein–protein interactions
C Mirabello, B Wallner
Proteins: Structure, Function, and Bioinformatics 85 (6), 1159-1170, 2017
412017
Methods for estimation of model accuracy in CASP12
A Elofsson, K Joo, C Keasar, J Lee, AHA Maghrabi, B Manavalan, ...
Proteins: Structure, Function, and Bioinformatics 86, 361-373, 2018
342018
InterPep2: global peptide–protein docking using interaction surface templates
I Johansson-Åkhe, C Mirabello, B Wallner
Bioinformatics 36 (8), 2458-2465, 2020
302020
aMeta: an accurate and memory-efficient ancient metagenomic profiling workflow
Z Pochon, N Bergfeldt, E Kırdök, M Vicente, T Naidoo, T Van Der Valk, ...
Genome Biology 24 (1), 242, 2023
202023
Solution NMR structure of the TRIM21 B-box2 and identification of residues involved in its interaction with the RING domain
A Wallenhammar, M Anandapadamanaban, A Lemak, C Mirabello, ...
PloS one 12 (7), e0181551, 2017
202017
InterPepRank: assessment of docked peptide conformations by a deep graph network
I Johansson-Åkhe, C Mirabello, B Wallner
Frontiers in Bioinformatics 1, 763102, 2021
172021
Topology independent structural matching discovers novel templates for protein interfaces
C Mirabello, B Wallner
Bioinformatics 34 (17), i787-i794, 2018
172018
DockQ v2: Improved automatic quality measure for protein multimers, nucleic acids, and small molecules
C Mirabello, B Wallner
Bioinformatics 40 (10), btae586, 2024
122024
rawMSA: End-to-end deep learning makes protein sequence profiles and feature extraction obsolete
C Mirabello, B Wallner
biorxiv, 394437, 2018
122018
Unmasking AlphaFold to integrate experiments and predictions in multimeric complexes
C Mirabello, B Wallner, B Nystedt, S Azinas, M Carroni
Nature Communications 15 (1), 8724, 2024
112024
Single-cell RNA analysis reveals cell-intrinsic functions of CAR T cells correlating with response in a phase II study of lymphoma patients
T Sarén, M Ramachandran, G Gammelgård, T Lövgren, C Mirabello, ...
Clinical Cancer Research 29 (20), 4139-4152, 2023
102023
MassiveFold: unveiling AlphaFold’s hidden potential with optimized and parallelized massive sampling
N Raouraoua, C Mirabello, T Véry, C Blanchet, B Wallner, MF Lensink, ...
Nature Computational Science, 1-5, 2024
62024
InterLig: improved ligand-based virtual screening using topologically independent structural alignments
C Mirabello, B Wallner
Bioinformatics 36 (10), 3266-3267, 2020
62020
Pollastri G
C Mirabello
Porter, PaleAle 4, 0
6
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Articles 1–20