| 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 | 174 | 2017 |
| GraphQA: protein model quality assessment using graph convolutional networks F Baldassarre, D Menéndez Hurtado, A Elofsson, H Azizpour Bioinformatics 37 (3), 360-366, 2021 | 106 | 2021 |
| 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 | 93 | 2019 |
| PconsC4: fast, accurate and hassle-free contact predictions M Michel, D Menéndez Hurtado, A Elofsson Bioinformatics 35 (15), 2677-2679, 2019 | 78 | 2019 |
| Deep transfer learning in the assessment of the quality of protein models DM Hurtado, K Uziela, A Elofsson arXiv preprint arXiv:1804.06281, 2018 | 48 | 2018 |
| 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 | 48 | 2017 |
| 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 | 36 | 2017 |
| 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 | 34 | 2018 |
| 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 | 21 | 2018 |
| 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 | 16 | 2019 |
| Using pconsc4 and pconsfold2 to predict protein structure C Bassot, D Menendez Hurtado, A Elofsson Current Protocols in Bioinformatics 66 (1), e75, 2019 | 7 | 2019 |
| PconsC4: fast, free, easy, and accurate contact predictions M Michel, DM Hurtado, A Elofsson bioRxiv, 383133, 2018 | 4 | 2018 |
| Accurate contact predictions for thousands of protein families using PconsC3 MJ Skwark, M Michel, D Menéndez Hurtado, M Ekeberg, A Elofsson bioRxiv, 079673, 2016 | 4 | 2016 |
| Large-scale structure prediction enabled by reliable model quality assessment and improved contact predictions for small families. M Michel, D Menendez-Hurtado, K Uziela, A Elofsson Bioinformatics 33, i23-i29, 2017 | 1 | 2017 |
| 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 | | |
Arne ElofssonScience for Life Laboratory and department of Biochemistry and Biophysics, Stockholm University在 bioinfo.se 的电子邮件经过验证
