305 related articles for article (PubMed ID: 29931128)
1. 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]
2. 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]
3. DNCON2: improved protein contact prediction using two-level deep convolutional neural networks.
Adhikari B; Hou J; Cheng J
Bioinformatics; 2018 May; 34(9):1466-1472. PubMed ID: 29228185
[TBL] [Abstract][Full Text] [Related]
4. 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]
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. 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]
7. DeepSF: deep convolutional neural network for mapping protein sequences to folds.
Hou J; Adhikari B; Cheng J
Bioinformatics; 2018 Apr; 34(8):1295-1303. PubMed ID: 29228193
[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. Accurate prediction of protein contact maps by coupling residual two-dimensional bidirectional long short-term memory with convolutional neural networks.
Hanson J; Paliwal K; Litfin T; Yang Y; Zhou Y
Bioinformatics; 2018 Dec; 34(23):4039-4045. PubMed ID: 29931279
[TBL] [Abstract][Full Text] [Related]
10. High precision in protein contact prediction using fully convolutional neural networks and minimal sequence features.
Jones DT; Kandathil SM
Bioinformatics; 2018 Oct; 34(19):3308-3315. PubMed ID: 29718112
[TBL] [Abstract][Full Text] [Related]
11. aPRBind: protein-RNA interface prediction by combining sequence and I-TASSER model-based structural features learned with convolutional neural networks.
Liu Y; Gong W; Zhao Y; Deng X; Zhang S; Li C
Bioinformatics; 2021 May; 37(7):937-942. PubMed ID: 32821925
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Using physical features of protein core packing to distinguish real proteins from decoys.
Grigas AT; Mei Z; Treado JD; Levine ZA; Regan L; O'Hern CS
Protein Sci; 2020 Sep; 29(9):1931-1944. PubMed ID: 32710566
[TBL] [Abstract][Full Text] [Related]
14. A deep dilated convolutional residual network for predicting interchain contacts of protein homodimers.
Roy RS; Quadir F; Soltanikazemi E; Cheng J
Bioinformatics; 2022 Mar; 38(7):1904-1910. PubMed ID: 35134816
[TBL] [Abstract][Full Text] [Related]
15. DEEPCON: protein contact prediction using dilated convolutional neural networks with dropout.
Adhikari B
Bioinformatics; 2020 Jan; 36(2):470-477. PubMed ID: 31359036
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. 3D-equivariant graph neural networks for protein model quality assessment.
Chen C; Chen X; Morehead A; Wu T; Cheng J
Bioinformatics; 2023 Jan; 39(1):. PubMed ID: 36637199
[TBL] [Abstract][Full Text] [Related]
19. Enhancing Evolutionary Couplings with Deep Convolutional Neural Networks.
Liu Y; Palmedo P; Ye Q; Berger B; Peng J
Cell Syst; 2018 Jan; 6(1):65-74.e3. PubMed ID: 29275173
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]