359 related articles for article (PubMed ID: 34074028)
1. Deep Learning-Based Advances in Protein Structure Prediction.
Pakhrin SC; Shrestha B; Adhikari B; Kc DB
Int J Mol Sci; 2021 May; 22(11):. PubMed ID: 34074028
[TBL] [Abstract][Full Text] [Related]
2. Deep Learning to Predict Protein Backbone Structure from High-Resolution Cryo-EM Density Maps.
Si D; Moritz SA; Pfab J; Hou J; Cao R; Wang L; Wu T; Cheng J
Sci Rep; 2020 Mar; 10(1):4282. PubMed ID: 32152330
[TBL] [Abstract][Full Text] [Related]
3. Recent advances in sequence-based protein structure prediction.
Kc DB
Brief Bioinform; 2017 Nov; 18(6):1021-1032. PubMed ID: 27562963
[TBL] [Abstract][Full Text] [Related]
4. Cryo-EM targets in CASP14.
Cragnolini T; Kryshtafovych A; Topf M
Proteins; 2021 Dec; 89(12):1949-1958. PubMed ID: 34398978
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. CR-I-TASSER: assemble protein structures from cryo-EM density maps using deep convolutional neural networks.
Zhang X; Zhang B; Freddolino PL; Zhang Y
Nat Methods; 2022 Feb; 19(2):195-204. PubMed ID: 35132244
[TBL] [Abstract][Full Text] [Related]
7. Protein tertiary structure modeling driven by deep learning and contact distance prediction in CASP13.
Hou J; Wu T; Cao R; Cheng J
Proteins; 2019 Dec; 87(12):1165-1178. PubMed ID: 30985027
[TBL] [Abstract][Full Text] [Related]
8. Applying and improving AlphaFold at CASP14.
Jumper J; Evans R; Pritzel A; Green T; Figurnov M; Ronneberger O; Tunyasuvunakool K; Bates R; Žídek A; Potapenko A; Bridgland A; Meyer C; Kohl SAA; Ballard AJ; Cowie A; Romera-Paredes B; Nikolov S; Jain R; Adler J; Back T; Petersen S; Reiman D; Clancy E; Zielinski M; Steinegger M; Pacholska M; Berghammer T; Silver D; Vinyals O; Senior AW; Kavukcuoglu K; Kohli P; Hassabis D
Proteins; 2021 Dec; 89(12):1711-1721. PubMed ID: 34599769
[TBL] [Abstract][Full Text] [Related]
9. Evaluation of Deep Neural Network ProSPr for Accurate Protein Distance Predictions on CASP14 Targets.
Stern J; Hedelius B; Fisher O; Billings WM; Della Corte D
Int J Mol Sci; 2021 Nov; 22(23):. PubMed ID: 34884640
[TBL] [Abstract][Full Text] [Related]
10. Computational models in the service of X-ray and cryo-electron microscopy structure determination.
Kryshtafovych A; Moult J; Albrecht R; Chang GA; Chao K; Fraser A; Greenfield J; Hartmann MD; Herzberg O; Josts I; Leiman PG; Linden SB; Lupas AN; Nelson DC; Rees SD; Shang X; Sokolova ML; Tidow H;
Proteins; 2021 Dec; 89(12):1633-1646. PubMed ID: 34449113
[TBL] [Abstract][Full Text] [Related]
11. Deep learning for reconstructing protein structures from cryo-EM density maps: Recent advances and future directions.
Giri N; Roy RS; Cheng J
Curr Opin Struct Biol; 2023 Apr; 79():102536. PubMed ID: 36773336
[TBL] [Abstract][Full Text] [Related]
12. Protein inter-residue contact and distance prediction by coupling complementary coevolution features with deep residual networks in CASP14.
Li Y; Zhang C; Zheng W; Zhou X; Bell EW; Yu DJ; Zhang Y
Proteins; 2021 Dec; 89(12):1911-1921. PubMed ID: 34382712
[TBL] [Abstract][Full Text] [Related]
13. PYTHIA: Deep Learning Approach for Local Protein Conformation Prediction.
Cretin G; Galochkina T; de Brevern AG; Gelly JC
Int J Mol Sci; 2021 Aug; 22(16):. PubMed ID: 34445537
[TBL] [Abstract][Full Text] [Related]
14. Protein sequence-to-structure learning: Is this the end(-to-end revolution)?
Laine E; Eismann S; Elofsson A; Grudinin S
Proteins; 2021 Dec; 89(12):1770-1786. PubMed ID: 34519095
[TBL] [Abstract][Full Text] [Related]
15. Highly accurate protein structure prediction with AlphaFold.
Jumper J; Evans R; Pritzel A; Green T; Figurnov M; Ronneberger O; Tunyasuvunakool K; Bates R; Žídek A; Potapenko A; Bridgland A; Meyer C; Kohl SAA; Ballard AJ; Cowie A; Romera-Paredes B; Nikolov S; Jain R; Adler J; Back T; Petersen S; Reiman D; Clancy E; Zielinski M; Steinegger M; Pacholska M; Berghammer T; Bodenstein S; Silver D; Vinyals O; Senior AW; Kavukcuoglu K; Kohli P; Hassabis D
Nature; 2021 Aug; 596(7873):583-589. PubMed ID: 34265844
[TBL] [Abstract][Full Text] [Related]
16. DeepCDpred: Inter-residue distance and contact prediction for improved prediction of protein structure.
Ji S; Oruç T; Mead L; Rehman MF; Thomas CM; Butterworth S; Winn PJ
PLoS One; 2019; 14(1):e0205214. PubMed ID: 30620738
[TBL] [Abstract][Full Text] [Related]
17. Hybrid approaches: applying computational methods in cryo-electron microscopy.
Lindert S; Stewart PL; Meiler J
Curr Opin Struct Biol; 2009 Apr; 19(2):218-25. PubMed ID: 19339173
[TBL] [Abstract][Full Text] [Related]
18. Accurate flexible refinement for atomic-level protein structure using cryo-EM density maps and deep learning.
Zhang B; Liu D; Zhang Y; Shen HB; Zhang GJ
Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35152277
[TBL] [Abstract][Full Text] [Related]
19. Critical assessment of methods of protein structure prediction (CASP)-Round XV.
Kryshtafovych A; Schwede T; Topf M; Fidelis K; Moult J
Proteins; 2023 Dec; 91(12):1539-1549. PubMed ID: 37920879
[TBL] [Abstract][Full Text] [Related]
20. Deep Learning-Based Advances In Protein Posttranslational Modification Site and Protein Cleavage Prediction.
Pakhrin SC; Pokharel S; Saigo H; Kc DB
Methods Mol Biol; 2022; 2499():285-322. PubMed ID: 35696087
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
