101 related articles for article (PubMed ID: 26344049)
1. Methods of model accuracy estimation can help selecting the best models from decoy sets: Assessment of model accuracy estimations in CASP11.
Kryshtafovych A; Barbato A; Monastyrskyy B; Fidelis K; Schwede T; Tramontano A
Proteins; 2016 Sep; 84 Suppl 1(Suppl 1):349-69. PubMed ID: 26344049
[TBL] [Abstract][Full Text] [Related]
2. CASP11 statistics and the prediction center evaluation system.
Kryshtafovych A; Monastyrskyy B; Fidelis K
Proteins; 2016 Sep; 84 Suppl 1(Suppl 1):15-9. PubMed ID: 26857434
[TBL] [Abstract][Full Text] [Related]
3. Assessment of the assessment: evaluation of the model quality estimates in CASP10.
Kryshtafovych A; Barbato A; Fidelis K; Monastyrskyy B; Schwede T; Tramontano A
Proteins; 2014 Feb; 82 Suppl 2(0 2):112-26. PubMed ID: 23780644
[TBL] [Abstract][Full Text] [Related]
4. New encouraging developments in contact prediction: Assessment of the CASP11 results.
Monastyrskyy B; D'Andrea D; Fidelis K; Tramontano A; Kryshtafovych A
Proteins; 2016 Sep; 84 Suppl 1(Suppl 1):131-44. PubMed ID: 26474083
[TBL] [Abstract][Full Text] [Related]
5. Estimation of model accuracy in CASP15 using the ModFOLDdock server.
Edmunds NS; Alharbi SMA; Genc AG; Adiyaman R; McGuffin LJ
Proteins; 2023 Dec; 91(12):1871-1878. PubMed ID: 37314190
[TBL] [Abstract][Full Text] [Related]
6. Consistent refinement of submitted models at CASP using a knowledge-based potential.
Chopra G; Kalisman N; Levitt M
Proteins; 2010 Sep; 78(12):2668-78. PubMed ID: 20589633
[TBL] [Abstract][Full Text] [Related]
7. MASS: predict the global qualities of individual protein models using random forests and novel statistical potentials.
Liu T; Wang Z
BMC Bioinformatics; 2020 Jul; 21(Suppl 4):246. PubMed ID: 32631256
[TBL] [Abstract][Full Text] [Related]
8. MQAPRank: improved global protein model quality assessment by learning-to-rank.
Jing X; Dong Q
BMC Bioinformatics; 2017 May; 18(1):275. PubMed ID: 28545390
[TBL] [Abstract][Full Text] [Related]
9. Protein structure accuracy estimation using geometry-complete perceptron networks.
Morehead A; Liu J; Cheng J
Protein Sci; 2024 Mar; 33(3):e4932. PubMed ID: 38380738
[TBL] [Abstract][Full Text] [Related]
10. Designing and evaluating the MULTICOM protein local and global model quality prediction methods in the CASP10 experiment.
Cao R; Wang Z; Cheng J
BMC Struct Biol; 2014 Apr; 14():13. PubMed ID: 24731387
[TBL] [Abstract][Full Text] [Related]
11. Reducing Ensembles of Protein Tertiary Structures Generated De Novo via Clustering.
Zaman AB; Kamranfar P; Domeniconi C; Shehu A
Molecules; 2020 May; 25(9):. PubMed ID: 32397410
[TBL] [Abstract][Full Text] [Related]
12. Combining pairwise structural similarity and deep learning interface contact prediction to estimate protein complex model accuracy in CASP15.
Roy RS; Liu J; Giri N; Guo Z; Cheng J
Proteins; 2023 Dec; 91(12):1889-1902. PubMed ID: 37357816
[TBL] [Abstract][Full Text] [Related]
13. CASP11--An Evaluation of a Modular BCL::Fold-Based Protein Structure Prediction Pipeline.
Fischer AW; Heinze S; Putnam DK; Li B; Pino JC; Xia Y; Lopez CF; Meiler J
PLoS One; 2016; 11(4):e0152517. PubMed ID: 27046050
[TBL] [Abstract][Full Text] [Related]
14. MUfoldQA_G: High-accuracy protein model QA via retraining and transformation.
Wang W; Wang J; Li Z; Xu D; Shang Y
Comput Struct Biotechnol J; 2021; 19():6282-6290. PubMed ID: 34900138
[TBL] [Abstract][Full Text] [Related]
15. A Survey of Deep Learning Methods for Estimating the Accuracy of Protein Quaternary Structure Models.
Chen X; Liu J; Park N; Cheng J
Biomolecules; 2024 May; 14(5):. PubMed ID: 38785981
[TBL] [Abstract][Full Text] [Related]
16. Assessment of model accuracy estimations in CASP12.
Kryshtafovych A; Monastyrskyy B; Fidelis K; Schwede T; Tramontano A
Proteins; 2018 Mar; 86 Suppl 1(Suppl 1):345-360. PubMed ID: 28833563
[TBL] [Abstract][Full Text] [Related]
17. ProQ2: estimation of model accuracy implemented in Rosetta.
Uziela K; Wallner B
Bioinformatics; 2016 May; 32(9):1411-3. PubMed ID: 26733453
[TBL] [Abstract][Full Text] [Related]
18. Recent advances and challenges in protein complex model accuracy estimation.
Liang F; Sun M; Xie L; Zhao X; Liu D; Zhao K; Zhang G
Comput Struct Biotechnol J; 2024 Dec; 23():1824-1832. PubMed ID: 38707538
[TBL] [Abstract][Full Text] [Related]
19. Assessing protein model quality based on deep graph coupled networks using protein language model.
Liu D; Zhang B; Liu J; Li H; Song L; Zhang G
Brief Bioinform; 2023 Nov; 25(1):. PubMed ID: 38018909
[TBL] [Abstract][Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]
