These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

192 related articles for article (PubMed ID: 34387007)

  • 1. Continuous Automated Model EvaluatiOn (CAMEO)-Perspectives on the future of fully automated evaluation of structure prediction methods.
    Robin X; Haas J; Gumienny R; Smolinski A; Tauriello G; Schwede T
    Proteins; 2021 Dec; 89(12):1977-1986. PubMed ID: 34387007
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Continuous Automated Model EvaluatiOn (CAMEO) complementing the critical assessment of structure prediction in CASP12.
    Haas J; Barbato A; Behringer D; Studer G; Roth S; Bertoni M; Mostaguir K; Gumienny R; Schwede T
    Proteins; 2018 Mar; 86 Suppl 1(Suppl 1):387-398. PubMed ID: 29178137
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Introducing "best single template" models as reference baseline for the Continuous Automated Model Evaluation (CAMEO).
    Haas J; Gumienny R; Barbato A; Ackermann F; Tauriello G; Bertoni M; Studer G; Smolinski A; Schwede T
    Proteins; 2019 Dec; 87(12):1378-1387. PubMed ID: 31571280
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Assessment of ligand binding site predictions in CASP10.
    Gallo Cassarino T; Bordoli L; Schwede T
    Proteins; 2014 Feb; 82 Suppl 2(0 2):154-63. PubMed ID: 24339001
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Toolbox for Protein Structure Prediction.
    Roche DB; McGuffin LJ
    Methods Mol Biol; 2016; 1369():363-77. PubMed ID: 26519323
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model.
    Wang S; Sun S; Li Z; Zhang R; Xu J
    PLoS Comput Biol; 2017 Jan; 13(1):e1005324. PubMed ID: 28056090
    [TBL] [Abstract][Full Text] [Related]  

  • 7. CAFASP2: the second critical assessment of fully automated structure prediction methods.
    Fischer D; Elofsson A; Rychlewski L; Pazos F; Valencia A; Rost B; Ortiz AR; Dunbrack RL
    Proteins; 2001; Suppl 5():171-83. PubMed ID: 11835495
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Assessment of protein model structure accuracy estimation in CASP14: Old and new challenges.
    Kwon S; Won J; Kryshtafovych A; Seok C
    Proteins; 2021 Dec; 89(12):1940-1948. PubMed ID: 34324227
    [TBL] [Abstract][Full Text] [Related]  

  • 9. High-accuracy protein structure prediction in CASP14.
    Pereira J; Simpkin AJ; Hartmann MD; Rigden DJ; Keegan RM; Lupas AN
    Proteins; 2021 Dec; 89(12):1687-1699. PubMed ID: 34218458
    [TBL] [Abstract][Full Text] [Related]  

  • 10. LiveBench-8: the large-scale, continuous assessment of automated protein structure prediction.
    Rychlewski L; Fischer D
    Protein Sci; 2005 Jan; 14(1):240-5. PubMed ID: 15608124
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Topology evaluation of models for difficult targets in the 14th round of the critical assessment of protein structure prediction (CASP14).
    Kinch LN; Pei J; Kryshtafovych A; Schaeffer RD; Grishin NV
    Proteins; 2021 Dec; 89(12):1673-1686. PubMed ID: 34240477
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The breakthrough in protein structure prediction.
    Lupas AN; Pereira J; Alva V; Merino F; Coles M; Hartmann MD
    Biochem J; 2021 May; 478(10):1885-1890. PubMed ID: 34029366
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Assessment of the CASP14 assembly predictions.
    Ozden B; Kryshtafovych A; Karaca E
    Proteins; 2021 Dec; 89(12):1787-1799. PubMed ID: 34337786
    [TBL] [Abstract][Full Text] [Related]  

  • 14. AI-Driven Deep Learning Techniques in Protein Structure Prediction.
    Chen L; Li Q; Nasif KFA; Xie Y; Deng B; Niu S; Pouriyeh S; Dai Z; Chen J; Xie CY
    Int J Mol Sci; 2024 Aug; 25(15):. PubMed ID: 39125995
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automatic structure prediction of oligomeric assemblies using Robetta in CASP12.
    Park H; Kim DE; Ovchinnikov S; Baker D; DiMaio F
    Proteins; 2018 Mar; 86 Suppl 1(Suppl 1):283-291. PubMed ID: 28913931
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Automated server predictions in CASP7.
    Battey JN; Kopp J; Bordoli L; Read RJ; Clarke ND; Schwede T
    Proteins; 2007; 69 Suppl 8():68-82. PubMed ID: 17894354
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Critical assessment of methods of protein structure prediction (CASP)-Round XIV.
    Kryshtafovych A; Schwede T; Topf M; Fidelis K; Moult J
    Proteins; 2021 Dec; 89(12):1607-1617. PubMed ID: 34533838
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Assessing the accuracy of contact and distance predictions in CASP14.
    Ruiz-Serra V; Pontes C; Milanetti E; Kryshtafovych A; Lepore R; Valencia A
    Proteins; 2021 Dec; 89(12):1888-1900. PubMed ID: 34595772
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Target highlights in CASP14: Analysis of models by structure providers.
    Alexander LT; Lepore R; Kryshtafovych A; Adamopoulos A; Alahuhta M; Arvin AM; Bomble YJ; Böttcher B; Breyton C; Chiarini V; Chinnam NB; Chiu W; Fidelis K; Grinter R; Gupta GD; Hartmann MD; Hayes CS; Heidebrecht T; Ilari A; Joachimiak A; Kim Y; Linares R; Lovering AL; Lunin VV; Lupas AN; Makbul C; Michalska K; Moult J; Mukherjee PK; Nutt WS; Oliver SL; Perrakis A; Stols L; Tainer JA; Topf M; Tsutakawa SE; Valdivia-Delgado M; Schwede T
    Proteins; 2021 Dec; 89(12):1647-1672. PubMed ID: 34561912
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Assessment of protein model structure accuracy estimation in CASP13: Challenges in the era of deep learning.
    Won J; Baek M; Monastyrskyy B; Kryshtafovych A; Seok C
    Proteins; 2019 Dec; 87(12):1351-1360. PubMed ID: 31436360
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.