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David Menéndez Hurtado
David Menéndez Hurtado
Department of Biochemistry and Biophysics, Stockholm University and Science for Life Laboratory
Verified email at scilifelab.se
Title
Cited by
Cited by
Year
ProQ3D: improved model quality assessments using deep learning
K Uziela, D Menéndez Hurtado, N Shu, B Wallner, A Elofsson
Bioinformatics 33 (10), 1578-1580, 2017
1702017
GraphQA: protein model quality assessment using graph convolutional networks
F Baldassarre, D Menéndez Hurtado, A Elofsson, H Azizpour
Bioinformatics 37 (3), 360-366, 2021
972021
Estimation of model accuracy in CASP13
J Cheng, MH Choe, A Elofsson, KS Han, J Hou, AHA Maghrabi, ...
Proteins: Structure, Function, and Bioinformatics 87 (12), 1361-1377, 2019
902019
PconsC4: fast, accurate and hassle-free contact predictions
M Michel, D Menéndez Hurtado, A Elofsson
Bioinformatics 35 (15), 2677-2679, 2019
722019
Predicting accurate contacts in thousands of Pfam domain families using PconsC3
M Michel, MJ Skwark, D Menéndez Hurtado, M Ekeberg, A Elofsson
Bioinformatics 33 (18), 2859-2866, 2017
492017
Deep transfer learning in the assessment of the quality of protein models
DM Hurtado, K Uziela, A Elofsson
arXiv preprint arXiv:1804.06281, 2018
452018
Large-scale structure prediction by improved contact predictions and model quality assessment
M Michel, D Menéndez Hurtado, K Uziela, A Elofsson
Bioinformatics 33 (14), i23-i29, 2017
362017
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
332018
Improved protein model quality assessments by changing the target function
K Uziela, D Menendez Hurtado, N Shu, B Wallner, A Elofsson
Proteins: Structure, Function, and Bioinformatics 86 (6), 654-663, 2018
192018
PconsFam: an interactive database of structure predictions of Pfam families
J Lamb, AI Jarmolinska, M Michel, D Menéndez-Hurtado, JI Sulkowska, ...
Journal of molecular biology 431 (13), 2442-2448, 2019
152019
Using pconsc4 and pconsfold2 to predict protein structure
C Bassot, D Menendez Hurtado, A Elofsson
Current Protocols in Bioinformatics 66 (1), e75, 2019
72019
PconsC4: fast, free, easy, and accurate contact predictions
M Michel, DM Hurtado, A Elofsson
bioRxiv, 383133, 2018
42018
Accurate contact predictions for thousands of protein families using PconsC3
MJ Skwark, M Michel, D Menéndez Hurtado, M Ekeberg, A Elofsson
bioRxiv, 079673, 2016
42016
Large-scale structure prediction enabled by reliable model quality assessment and improved contact predictions for small families.
M Michel, DM Hurtado, K Uziela, A Elofsson
12015
Structured Learning for Structural Bioinformatics: Applications of Deep Learning to Protein Structure Prediction
D Menéndez Hurtado
Department of Biochemistry and Biophysics, Stockholm University, 2019
2019
A novel training procedure to train deep networks in the assessment of the quality of protein models
D Menéndez Hurtado, K Uziela, A Elofsson
2019
Supplementary materials to” PconsC4: fast, free, easy, and accurate contact predictions.”
M Michel, D Menéndez-Hurtado, A Elofsson
2018
Project Trakhios: Optic ultraprecisse
DM Hurtado
2011
Proyecto Trakhios: Seguimiento
DM Hurtado
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