184 related articles for article (PubMed ID: 32437517)
1. 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]
2. SAINT-Angle: self-attention augmented inception-inside-inception network and transfer learning improve protein backbone torsion angle prediction.
Hasan AKMM; Ahmed AY; Mahbub S; Rahman MS; Bayzid MS
Bioinform Adv; 2023; 3(1):vbad042. PubMed ID: 37092035
[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. OPUS-TASS: a protein backbone torsion angles and secondary structure predictor based on ensemble neural networks.
Xu G; Wang Q; Ma J
Bioinformatics; 2020 Dec; 36(20):5021-5026. PubMed ID: 32678893
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. 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]
8. IGPRED-MultiTask: A Deep Learning Model to Predict Protein Secondary Structure, Torsion Angles and Solvent Accessibility.
Gormez Y; Aydin Z
IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(2):1104-1113. PubMed ID: 35849663
[TBL] [Abstract][Full Text] [Related]
9. Combination of deep neural network with attention mechanism enhances the explainability of protein contact prediction.
Chen C; Wu T; Guo Z; Cheng J
Proteins; 2021 Jun; 89(6):697-707. PubMed ID: 33538038
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. 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]
13. Improved protein relative solvent accessibility prediction using deep multi-view feature learning framework.
Fan XQ; Hu J; Jia NX; Yu DJ; Zhang GJ
Anal Biochem; 2021 Oct; 631():114358. PubMed ID: 34478704
[TBL] [Abstract][Full Text] [Related]
14. MFTrans: A multi-feature transformer network for protein secondary structure prediction.
Chen Y; Chen G; Chen CY
Int J Biol Macromol; 2024 May; 267(Pt 1):131311. PubMed ID: 38599417
[TBL] [Abstract][Full Text] [Related]
15. Deep Ensemble Learning with Atrous Spatial Pyramid Networks for Protein Secondary Structure Prediction.
Guo Y; Wu J; Ma H; Wang S; Huang J
Biomolecules; 2022 Jun; 12(6):. PubMed ID: 35740899
[TBL] [Abstract][Full Text] [Related]
16. CNNH_PSS: protein 8-class secondary structure prediction by convolutional neural network with highway.
Zhou J; Wang H; Zhao Z; Xu R; Lu Q
BMC Bioinformatics; 2018 May; 19(Suppl 4):60. PubMed ID: 29745837
[TBL] [Abstract][Full Text] [Related]
17. DeepECA: an end-to-end learning framework for protein contact prediction from a multiple sequence alignment.
Fukuda H; Tomii K
BMC Bioinformatics; 2020 Jan; 21(1):10. PubMed ID: 31918654
[TBL] [Abstract][Full Text] [Related]
18. EGRET: edge aggregated graph attention networks and transfer learning improve protein-protein interaction site prediction.
Mahbub S; Bayzid MS
Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35106547
[TBL] [Abstract][Full Text] [Related]
19. Protein Secondary Structure Prediction Using Deep Convolutional Neural Fields.
Wang S; Peng J; Ma J; Xu J
Sci Rep; 2016 Jan; 6():18962. PubMed ID: 26752681
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]