253 related articles for article (PubMed ID: 34117740)
21. Improving protein secondary structure prediction using a multi-modal BP method.
Qu W; Sui H; Yang B; Qian W
Comput Biol Med; 2011 Oct; 41(10):946-59. PubMed ID: 21880310
[TBL] [Abstract][Full Text] [Related]
22. Comparative analysis and prediction of quorum-sensing peptides using feature representation learning and machine learning algorithms.
Wei L; Hu J; Li F; Song J; Su R; Zou Q
Brief Bioinform; 2020 Jan; 21(1):106-119. PubMed ID: 30383239
[TBL] [Abstract][Full Text] [Related]
23. Improving protein fold recognition using triplet network and ensemble deep learning.
Liu Y; Han K; Zhu YH; Zhang Y; Shen LC; Song J; Yu DJ
Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34226918
[TBL] [Abstract][Full Text] [Related]
24. AFP-MFL: accurate identification of antifungal peptides using multi-view feature learning.
Fang Y; Xu F; Wei L; Jiang Y; Chen J; Wei L; Wei DQ
Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36631407
[TBL] [Abstract][Full Text] [Related]
25. Learning protein multi-view features in complex space.
Yu DJ; Hu J; Wu XW; Shen HB; Chen J; Tang ZM; Yang J; Yang JY
Amino Acids; 2013 May; 44(5):1365-79. PubMed ID: 23456487
[TBL] [Abstract][Full Text] [Related]
26. DeepSSPred: A Deep Learning Based Sulfenylation Site Predictor Via a Novel nSegmented Optimize Federated Feature Encoder.
Khan ZU; Pi D
Protein Pept Lett; 2021; 28(6):708-721. PubMed ID: 33267753
[TBL] [Abstract][Full Text] [Related]
27. A deep-learning framework for multi-level peptide-protein interaction prediction.
Lei Y; Li S; Liu Z; Wan F; Tian T; Li S; Zhao D; Zeng J
Nat Commun; 2021 Sep; 12(1):5465. PubMed ID: 34526500
[TBL] [Abstract][Full Text] [Related]
28. Identifying multi-functional bioactive peptide functions using multi-label deep learning.
Tang W; Dai R; Yan W; Zhang W; Bin Y; Xia E; Xia J
Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34651655
[TBL] [Abstract][Full Text] [Related]
29. 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]
30. DLBLS_SS: protein secondary structure prediction using deep learning and broad learning system.
Yuan L; Hu X; Ma Y; Liu Y
RSC Adv; 2022 Nov; 12(52):33479-33487. PubMed ID: 36505696
[TBL] [Abstract][Full Text] [Related]
31. Adapt-Kcr: a novel deep learning framework for accurate prediction of lysine crotonylation sites based on learning embedding features and attention architecture.
Li Z; Fang J; Wang S; Zhang L; Chen Y; Pian C
Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35189635
[TBL] [Abstract][Full Text] [Related]
32. Deep learning for protein secondary structure prediction: Pre and post-AlphaFold.
Ismi DP; Pulungan R; Afiahayati
Comput Struct Biotechnol J; 2022; 20():6271-6286. PubMed ID: 36420164
[TBL] [Abstract][Full Text] [Related]
33. ACP-MHCNN: an accurate multi-headed deep-convolutional neural network to predict anticancer peptides.
Ahmed S; Muhammod R; Khan ZH; Adilina S; Sharma A; Shatabda S; Dehzangi A
Sci Rep; 2021 Dec; 11(1):23676. PubMed ID: 34880291
[TBL] [Abstract][Full Text] [Related]
34. Multi-Channel 3D Deep Feature Learning for Survival Time Prediction of Brain Tumor Patients Using Multi-Modal Neuroimages.
Nie D; Lu J; Zhang H; Adeli E; Wang J; Yu Z; Liu L; Wang Q; Wu J; Shen D
Sci Rep; 2019 Jan; 9(1):1103. PubMed ID: 30705340
[TBL] [Abstract][Full Text] [Related]
35. Multi-view feature representation and fusion for drug-drug interactions prediction.
Wang J; Zhang S; Li R; Chen G; Yan S; Ma L
BMC Bioinformatics; 2023 Mar; 24(1):93. PubMed ID: 36918766
[TBL] [Abstract][Full Text] [Related]
36. 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]
37. Deep convolutional neural networks for pan-specific peptide-MHC class I binding prediction.
Han Y; Kim D
BMC Bioinformatics; 2017 Dec; 18(1):585. PubMed ID: 29281985
[TBL] [Abstract][Full Text] [Related]
38. 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]
39. Deep learning improves antimicrobial peptide recognition.
Veltri D; Kamath U; Shehu A
Bioinformatics; 2018 Aug; 34(16):2740-2747. PubMed ID: 29590297
[TBL] [Abstract][Full Text] [Related]
40. ACPred-FL: a sequence-based predictor using effective feature representation to improve the prediction of anti-cancer peptides.
Wei L; Zhou C; Chen H; Song J; Su R
Bioinformatics; 2018 Dec; 34(23):4007-4016. PubMed ID: 29868903
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
