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.
206 related articles for article (PubMed ID: 31487288)
1. Protein model accuracy estimation based on local structure quality assessment using 3D convolutional neural network. Sato R; Ishida T PLoS One; 2019; 14(9):e0221347. PubMed ID: 31487288 [TBL] [Abstract][Full Text] [Related]
2. Deep convolutional networks for quality assessment of protein folds. Derevyanko G; Grudinin S; Bengio Y; Lamoureux G Bioinformatics; 2018 Dec; 34(23):4046-4053. PubMed ID: 29931128 [TBL] [Abstract][Full Text] [Related]
3. P3CMQA: Single-Model Quality Assessment Using 3DCNN with Profile-Based Features. Takei Y; Ishida T Bioengineering (Basel); 2021 Mar; 8(3):. PubMed ID: 33808604 [TBL] [Abstract][Full Text] [Related]
4. Prediction of 8-state protein secondary structures by a novel deep learning architecture. Zhang B; Li J; Lü Q BMC Bioinformatics; 2018 Aug; 19(1):293. PubMed ID: 30075707 [TBL] [Abstract][Full Text] [Related]
5. Protein secondary structure prediction improved by recurrent neural networks integrated with two-dimensional convolutional neural networks. Guo Y; Wang B; Li W; Yang B J Bioinform Comput Biol; 2018 Oct; 16(5):1850021. PubMed ID: 30419785 [TBL] [Abstract][Full Text] [Related]
6. QDeep: distance-based protein model quality estimation by residue-level ensemble error classifications using stacked deep residual neural networks. Shuvo MH; Bhattacharya S; Bhattacharya D Bioinformatics; 2020 Jul; 36(Suppl_1):i285-i291. PubMed ID: 32657397 [TBL] [Abstract][Full Text] [Related]
7. 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]
8. Predicting protein-ligand binding residues with deep convolutional neural networks. Cui Y; Dong Q; Hong D; Wang X BMC Bioinformatics; 2019 Feb; 20(1):93. PubMed ID: 30808287 [TBL] [Abstract][Full Text] [Related]
9. Massive integration of diverse protein quality assessment methods to improve template based modeling in CASP11. Cao R; Bhattacharya D; Adhikari B; Li J; Cheng J Proteins; 2016 Sep; 84 Suppl 1(Suppl 1):247-59. PubMed ID: 26369671 [TBL] [Abstract][Full Text] [Related]
10. ResPRE: high-accuracy protein contact prediction by coupling precision matrix with deep residual neural networks. Li Y; Hu J; Zhang C; Yu DJ; Zhang Y Bioinformatics; 2019 Nov; 35(22):4647-4655. PubMed ID: 31070716 [TBL] [Abstract][Full Text] [Related]
11. DeepQA: improving the estimation of single protein model quality with deep belief networks. Cao R; Bhattacharya D; Hou J; Cheng J BMC Bioinformatics; 2016 Dec; 17(1):495. PubMed ID: 27919220 [TBL] [Abstract][Full Text] [Related]
12. IGPRED: Combination of convolutional neural and graph convolutional networks for protein secondary structure prediction. Görmez Y; Sabzekar M; Aydın Z Proteins; 2021 Oct; 89(10):1277-1288. PubMed ID: 33993559 [TBL] [Abstract][Full Text] [Related]
13. Methods for estimation of model accuracy in CASP12. Elofsson A; Joo K; Keasar C; Lee J; Maghrabi AHA; Manavalan B; McGuffin LJ; Ménendez Hurtado D; Mirabello C; Pilstål R; Sidi T; Uziela K; Wallner B Proteins; 2018 Mar; 86 Suppl 1():361-373. PubMed ID: 28975666 [TBL] [Abstract][Full Text] [Related]
14. 3D deep convolutional neural networks for amino acid environment similarity analysis. Torng W; Altman RB BMC Bioinformatics; 2017 Jun; 18(1):302. PubMed ID: 28615003 [TBL] [Abstract][Full Text] [Related]
15. Predicting residue-specific qualities of individual protein models using residual neural networks and graph neural networks. Zhao C; Liu T; Wang Z Proteins; 2022 Dec; 90(12):2091-2102. PubMed ID: 35842895 [TBL] [Abstract][Full Text] [Related]
16. 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]
17. Identifying short disorder-to-order binding regions in disordered proteins with a deep convolutional neural network method. Fang C; Moriwaki Y; Tian A; Li C; Shimizu K J Bioinform Comput Biol; 2019 Feb; 17(1):1950004. PubMed ID: 30866736 [TBL] [Abstract][Full Text] [Related]
18. OCLSTM: Optimized convolutional and long short-term memory neural network model for protein secondary structure prediction. Zhao Y; Liu Y PLoS One; 2021; 16(2):e0245982. PubMed ID: 33534819 [TBL] [Abstract][Full Text] [Related]
19. A New Deep-Learning Method for Human Activity Recognition. Vrskova R; Kamencay P; Hudec R; Sykora P Sensors (Basel); 2023 Mar; 23(5):. PubMed ID: 36905020 [TBL] [Abstract][Full Text] [Related]
20. 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] [Next] [New Search]