These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
271 related articles for article (PubMed ID: 35246878)
1. Using multiple convolutional window scanning of convolutional neural network for an efficient prediction of ATP-binding sites in transport proteins. Nguyen TT; Chen S; Ho QT; Ou YY Proteins; 2022 Jul; 90(7):1486-1492. PubMed ID: 35246878 [TBL] [Abstract][Full Text] [Related]
2. MFPS_CNN: Multi-filter Pattern Scanning from Position-specific Scoring Matrix with Convolutional Neural Network for Efficient Prediction of Ion Transporters. Nguyen TT; Ho QT; Tarn YC; Ou YY Mol Inform; 2022 Sep; 41(9):e2100271. PubMed ID: 35322557 [TBL] [Abstract][Full Text] [Related]
3. Prediction of ATP-binding sites in membrane proteins using a two-dimensional convolutional neural network. Nguyen TT; Le NQ; Kusuma RMI; Ou YY J Mol Graph Model; 2019 Nov; 92():86-93. PubMed ID: 31344547 [TBL] [Abstract][Full Text] [Related]
4. Prediction of Protein-ATP Binding Residues Based on Ensemble of Deep Convolutional Neural Networks and LightGBM Algorithm. Song J; Liu G; Jiang J; Zhang P; Liang Y Int J Mol Sci; 2021 Jan; 22(2):. PubMed ID: 33477866 [TBL] [Abstract][Full Text] [Related]
5. Research and Application of Ancient Chinese Pattern Restoration Based on Deep Convolutional Neural Network. Fu X Comput Intell Neurosci; 2021; 2021():2691346. PubMed ID: 34925485 [TBL] [Abstract][Full Text] [Related]
6. Accurate prediction of protein-ATP binding residues using position-specific frequency matrix. Hu J; Zheng LL; Bai YS; Zhang KW; Yu DJ; Zhang GJ Anal Biochem; 2021 Aug; 626():114241. PubMed ID: 33971164 [TBL] [Abstract][Full Text] [Related]
7. 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]
8. Convolutional neural networks with image representation of amino acid sequences for protein function prediction. Sara ST; Hasan MM; Ahmad A; Shatabda S Comput Biol Chem; 2021 Jun; 92():107494. PubMed ID: 33930742 [TBL] [Abstract][Full Text] [Related]
9. mCNN-ETC: identifying electron transporters and their functional families by using multiple windows scanning techniques in convolutional neural networks with evolutionary information of protein sequences. Ho QT; Le NQK; Ou YY Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34472594 [TBL] [Abstract][Full Text] [Related]
10. Why can deep convolutional neural networks improve protein fold recognition? A visual explanation by interpretation. Liu Y; Zhu YH; Song X; Song J; Yu DJ Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33537753 [TBL] [Abstract][Full Text] [Related]
11. RNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approach. Pan X; Shen HB BMC Bioinformatics; 2017 Feb; 18(1):136. PubMed ID: 28245811 [TBL] [Abstract][Full Text] [Related]
13. A deep dive into understanding tumor foci classification using multiparametric MRI based on convolutional neural network. Zong W; Lee JK; Liu C; Carver EN; Feldman AM; Janic B; Elshaikh MA; Pantelic MV; Hearshen D; Chetty IJ; Movsas B; Wen N Med Phys; 2020 Sep; 47(9):4077-4086. PubMed ID: 32449176 [TBL] [Abstract][Full Text] [Related]
14. A novel fused convolutional neural network for biomedical image classification. Pang S; Du A; Orgun MA; Yu Z Med Biol Eng Comput; 2019 Jan; 57(1):107-121. PubMed ID: 30003400 [TBL] [Abstract][Full Text] [Related]
15. DeepEfflux: a 2D convolutional neural network model for identifying families of efflux proteins in transporters. Taju SW; Nguyen TT; Le NQ; Kusuma RMI; Ou YY Bioinformatics; 2018 Sep; 34(18):3111-3117. PubMed ID: 29668844 [TBL] [Abstract][Full Text] [Related]
16. Classification of G-protein coupled receptors based on a rich generation of convolutional neural network, N-gram transformation and multiple sequence alignments. Li M; Ling C; Xu Q; Gao J Amino Acids; 2018 Feb; 50(2):255-266. PubMed ID: 29151135 [TBL] [Abstract][Full Text] [Related]
17. Sfcnn: a novel scoring function based on 3D convolutional neural network for accurate and stable protein-ligand affinity prediction. Wang Y; Wei Z; Xi L BMC Bioinformatics; 2022 Jun; 23(1):222. PubMed ID: 35676617 [TBL] [Abstract][Full Text] [Related]
18. 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]
19. Addressing data imbalance problems in ligand-binding site prediction using a variational autoencoder and a convolutional neural network. Nguyen TT; Nguyen DK; Ou YY Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34322702 [TBL] [Abstract][Full Text] [Related]
20. Prediction of drug protein interactions based on variable scale characteristic pyramid convolution network. Chen Y; Zhu Y; Zhang Z; Wang J; Wang C Methods; 2023 Mar; 211():42-47. PubMed ID: 36804213 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]