221 related articles for article (PubMed ID: 36768540)
1. DeepTP: A Deep Learning Model for Thermophilic Protein Prediction.
Zhao J; Yan W; Yang Y
Int J Mol Sci; 2023 Jan; 24(3):. PubMed ID: 36768540
[TBL] [Abstract][Full Text] [Related]
2. Prediction of transport proteins from sequence information with the deep learning approach.
Wang Q; Xu T; Xu K; Lu Z; Ying J
Comput Biol Med; 2023 Jun; 160():106974. PubMed ID: 37167658
[TBL] [Abstract][Full Text] [Related]
3. DeepPPThermo: A Deep Learning Framework for Predicting Protein Thermostability Combining Protein-Level and Amino Acid-Level Features.
Xiang X; Gao J; Ding Y
J Comput Biol; 2024 Feb; 31(2):147-160. PubMed ID: 38100126
[TBL] [Abstract][Full Text] [Related]
4. deepNEC: a novel alignment-free tool for the identification and classification of nitrogen biochemical network-related enzymes using deep learning.
Duhan N; Norton JM; Kaundal R
Brief Bioinform; 2022 May; 23(3):. PubMed ID: 35325031
[TBL] [Abstract][Full Text] [Related]
5. The applications of deep learning algorithms on in silico druggable proteins identification.
Yu L; Xue L; Liu F; Li Y; Jing R; Luo J
J Adv Res; 2022 Nov; 41():219-231. PubMed ID: 36328750
[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. CRMSNet: A deep learning model that uses convolution and residual multi-head self-attention block to predict RBPs for RNA sequence.
Pan Z; Zhou S; Zou H; Liu C; Zang M; Liu T; Wang Q
Proteins; 2023 Aug; 91(8):1032-1041. PubMed ID: 36935548
[TBL] [Abstract][Full Text] [Related]
8. ACP-Dnnel: anti-coronavirus peptides' prediction based on deep neural network ensemble learning.
Liu M; Liu H; Wu T; Zhu Y; Zhou Y; Huang Z; Xiang C; Huang J
Amino Acids; 2023 Sep; 55(9):1121-1136. PubMed ID: 37402073
[TBL] [Abstract][Full Text] [Related]
9. Prediction of anticancer peptides based on an ensemble model of deep learning and machine learning using ordinal positional encoding.
Yuan Q; Chen K; Yu Y; Le NQK; Chua MCH
Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36642410
[TBL] [Abstract][Full Text] [Related]
10. Prediction of protein N-terminal acetylation modification sites based on CNN-BiLSTM-attention model.
Ke J; Zhao J; Li H; Yuan L; Dong G; Wang G
Comput Biol Med; 2024 May; 174():108330. PubMed ID: 38588617
[TBL] [Abstract][Full Text] [Related]
11. Self-attention based recurrent convolutional neural network for disease prediction using healthcare data.
Usama M; Ahmad B; Xiao W; Hossain MS; Muhammad G
Comput Methods Programs Biomed; 2020 Jul; 190():105191. PubMed ID: 31753591
[TBL] [Abstract][Full Text] [Related]
12. DCSE:Double-Channel-Siamese-Ensemble model for protein protein interaction prediction.
Chen W; Wang S; Song T; Li X; Han P; Gao C
BMC Genomics; 2022 Aug; 23(1):555. PubMed ID: 35922751
[TBL] [Abstract][Full Text] [Related]
13. Secondary and Topological Structural Merge Prediction of Alpha-Helical Transmembrane Proteins Using a Hybrid Model Based on Hidden Markov and Long Short-Term Memory Neural Networks.
Gao T; Zhao Y; Zhang L; Wang H
Int J Mol Sci; 2023 Mar; 24(6):. PubMed ID: 36982795
[TBL] [Abstract][Full Text] [Related]
14. Prediction of drug-protein interaction based on dual channel neural networks with attention mechanism.
Tan D; Jiang H; Li H; Xie Y; Su Y
Brief Funct Genomics; 2024 May; 23(3):286-294. PubMed ID: 37642213
[TBL] [Abstract][Full Text] [Related]
15. Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction.
Shirwaikar RD; Acharya U D; Makkithaya K; M S; Srivastava S; Lewis U LES
Artif Intell Med; 2019 Jul; 98():59-76. PubMed ID: 31521253
[TBL] [Abstract][Full Text] [Related]
16. Ensemble deep learning models for protein secondary structure prediction using bidirectional temporal convolution and bidirectional long short-term memory.
Yuan L; Ma Y; Liu Y
Front Bioeng Biotechnol; 2023; 11():1051268. PubMed ID: 36860882
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. 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]
19. A Study of Two-Way Short- and Long-Term Memory Network Intelligent Computing IoT Model-Assisted Home Education Attention Mechanism.
Ma S
Comput Intell Neurosci; 2021; 2021():3587884. PubMed ID: 34970310
[TBL] [Abstract][Full Text] [Related]
20. An Intelligent Diagnosis Method of Brain MRI Tumor Segmentation Using Deep Convolutional Neural Network and SVM Algorithm.
Wu W; Li D; Du J; Gao X; Gu W; Zhao F; Feng X; Yan H
Comput Math Methods Med; 2020; 2020():6789306. PubMed ID: 32733596
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
