296 related articles for article (PubMed ID: 29492997)
1. 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]
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. 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]
4. 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]
5. MUFold-SSW: a new web server for predicting protein secondary structures, torsion angles and turns.
Fang C; Li Z; Xu D; Shang Y
Bioinformatics; 2020 Feb; 36(4):1293-1295. PubMed ID: 31532508
[TBL] [Abstract][Full Text] [Related]
6. SAINT: self-attention augmented inception-inside-inception network improves protein secondary structure prediction.
Uddin MR; Mahbub S; Rahman MS; Bayzid MS
Bioinformatics; 2020 Nov; 36(17):4599-4608. PubMed ID: 32437517
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. A Deep Learning Network Approach to ab initio Protein Secondary Structure Prediction.
Spencer M; Eickholt J; Jianlin Cheng
IEEE/ACM Trans Comput Biol Bioinform; 2015; 12(1):103-12. PubMed ID: 25750595
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. PaleAle 5.0: prediction of protein relative solvent accessibility by deep learning.
Kaleel M; Torrisi M; Mooney C; Pollastri G
Amino Acids; 2019 Sep; 51(9):1289-1296. PubMed ID: 31388850
[TBL] [Abstract][Full Text] [Related]
12. Multifaceted analysis of training and testing convolutional neural networks for protein secondary structure prediction.
Shapovalov M; Dunbrack RL; Vucetic S
PLoS One; 2020; 15(5):e0232528. PubMed ID: 32374785
[TBL] [Abstract][Full Text] [Related]
13. Protein secondary structure prediction with SPARROW.
Bettella F; Rasinski D; Knapp EW
J Chem Inf Model; 2012 Feb; 52(2):545-56. PubMed ID: 22224407
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Protein secondary structure prediction using neural networks and deep learning: A review.
Wardah W; Khan MGM; Sharma A; Rashid MA
Comput Biol Chem; 2019 Aug; 81():1-8. PubMed ID: 31442779
[TBL] [Abstract][Full Text] [Related]
16. Lightweight ProteinUnet2 network for protein secondary structure prediction: a step towards proper evaluation.
Stapor K; Kotowski K; Smolarczyk T; Roterman I
BMC Bioinformatics; 2022 Mar; 23(1):100. PubMed ID: 35317722
[TBL] [Abstract][Full Text] [Related]
17. PCI-SS: MISO dynamic nonlinear protein secondary structure prediction.
Green JR; Korenberg MJ; Aboul-Magd MO
BMC Bioinformatics; 2009 Jul; 10():222. PubMed ID: 19615046
[TBL] [Abstract][Full Text] [Related]
18. DNSS2: Improved ab initio protein secondary structure prediction using advanced deep learning architectures.
Guo Z; Hou J; Cheng J
Proteins; 2021 Feb; 89(2):207-217. PubMed ID: 32893403
[TBL] [Abstract][Full Text] [Related]
19. KELM-CPPpred: Kernel Extreme Learning Machine Based Prediction Model for Cell-Penetrating Peptides.
Pandey P; Patel V; George NV; Mallajosyula SS
J Proteome Res; 2018 Sep; 17(9):3214-3222. PubMed ID: 30032609
[TBL] [Abstract][Full Text] [Related]
20. DeepCys: Structure-based multiple cysteine function prediction method trained on deep neural network: Case study on domains of unknown functions belonging to COX2 domains.
Nallapareddy V; Bogam S; Devarakonda H; Paliwal S; Bandyopadhyay D
Proteins; 2021 Jul; 89(7):745-761. PubMed ID: 33580578
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
