142 related articles for article (PubMed ID: 30356073)
1. Improving Protein Gamma-Turn Prediction Using Inception Capsule Networks.
Fang C; Shang Y; Xu D
Sci Rep; 2018 Oct; 8(1):15741. PubMed ID: 30356073
[TBL] [Abstract][Full Text] [Related]
2. A deep dense inception network for protein beta-turn prediction.
Fang C; Shang Y; Xu D
Proteins; 2020 Jan; 88(1):143-151. PubMed ID: 31294886
[TBL] [Abstract][Full Text] [Related]
3. MUFOLD-SS: New deep inception-inside-inception networks for protein secondary structure prediction.
Fang C; Shang Y; Xu D
Proteins; 2018 May; 86(5):592-598. PubMed ID: 29492997
[TBL] [Abstract][Full Text] [Related]
4. A neural network method for prediction of beta-turn types in proteins using evolutionary information.
Kaur H; Raghava GP
Bioinformatics; 2004 Nov; 20(16):2751-8. PubMed ID: 15145798
[TBL] [Abstract][Full Text] [Related]
5. Prediction of beta-turns at over 80% accuracy based on an ensemble of predicted secondary structures and multiple alignments.
Zheng C; Kurgan L
BMC Bioinformatics; 2008 Oct; 9():430. PubMed ID: 18847492
[TBL] [Abstract][Full Text] [Related]
6. Prediction of Protein Backbone Torsion Angles Using Deep Residual Inception Neural Networks.
Fang C; Shang Y; Xu D
IEEE/ACM Trans Comput Biol Bioinform; 2018 Mar; ():. PubMed ID: 29994074
[TBL] [Abstract][Full Text] [Related]
7. Using predicted shape string to enhance the accuracy of γ-turn prediction.
Zhu Y; Li T; Li D; Zhang Y; Xiong W; Sun J; Tang Z; Chen G
Amino Acids; 2012 May; 42(5):1749-55. PubMed ID: 21424809
[TBL] [Abstract][Full Text] [Related]
8. A neural-network based method for prediction of gamma-turns in proteins from multiple sequence alignment.
Kaur H; Raghava GP
Protein Sci; 2003 May; 12(5):923-9. PubMed ID: 12717015
[TBL] [Abstract][Full Text] [Related]
9. NetTurnP--neural network prediction of beta-turns by use of evolutionary information and predicted protein sequence features.
Petersen B; Lundegaard C; Petersen TN
PLoS One; 2010 Nov; 5(11):e15079. PubMed ID: 21152409
[TBL] [Abstract][Full Text] [Related]
10. gamma-Turn types prediction in proteins using the support vector machines.
Jahandideh S; Sarvestani AS; Abdolmaleki P; Jahandideh M; Barfeie M
J Theor Biol; 2007 Dec; 249(4):785-90. PubMed ID: 17936305
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Prediction of the location and type of beta-turns in proteins using neural networks.
Shepherd AJ; Gorse D; Thornton JM
Protein Sci; 1999 May; 8(5):1045-55. PubMed ID: 10338015
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. DeepACLSTM: deep asymmetric convolutional long short-term memory neural models for protein secondary structure prediction.
Guo Y; Li W; Wang B; Liu H; Zhou D
BMC Bioinformatics; 2019 Jun; 20(1):341. PubMed ID: 31208331
[TBL] [Abstract][Full Text] [Related]
15. Improving protein disorder prediction by deep bidirectional long short-term memory recurrent neural networks.
Hanson J; Yang Y; Paliwal K; Zhou Y
Bioinformatics; 2017 Mar; 33(5):685-692. PubMed ID: 28011771
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Prediction of turn types in protein structure by machine-learning classifiers.
Meissner M; Koch O; Klebe G; Schneider G
Proteins; 2009 Feb; 74(2):344-52. PubMed ID: 18618702
[TBL] [Abstract][Full Text] [Related]
18. Support vector machines for the classification and prediction of beta-turn types.
Cai YD; Liu XJ; Xu XB; Chou KC
J Pept Sci; 2002 Jul; 8(7):297-301. PubMed ID: 12148778
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Exploring alternative knowledge representations for protein secondary-structure prediction.
Midic U; Dunker AK; Obradovic Z
Int J Data Min Bioinform; 2007; 1(3):286-313. PubMed ID: 18399076
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
