126 related articles for article (PubMed ID: 38127815)
1. E2EATP: Fast and High-Accuracy Protein-ATP Binding Residue Prediction via Protein Language Model Embedding.
Rao B; Yu X; Bai J; Hu J
J Chem Inf Model; 2024 Jan; 64(1):289-300. PubMed ID: 38127815
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Improving DNA-Binding Protein Prediction Using Three-Part Sequence-Order Feature Extraction and a Deep Neural Network Algorithm.
Hu J; Zeng WW; Jia NX; Arif M; Yu DJ; Zhang GJ
J Chem Inf Model; 2023 Feb; 63(3):1044-1057. PubMed ID: 36719781
[TBL] [Abstract][Full Text] [Related]
4. Prediction of protein-ATP binding residues using multi-view feature learning via contextual-based co-attention network.
Wu JS; Liu Y; Ge F; Yu DJ
Comput Biol Med; 2024 Apr; 172():108227. PubMed ID: 38460308
[TBL] [Abstract][Full Text] [Related]
5. Improving protein-protein interaction prediction using protein language model and protein network features.
Hu J; Li Z; Rao B; Thafar MA; Arif M
Anal Biochem; 2024 Apr; 693():115550. PubMed ID: 38679191
[TBL] [Abstract][Full Text] [Related]
6. Predicting protein-peptide binding residues via interpretable deep learning.
Wang R; Jin J; Zou Q; Nakai K; Wei L
Bioinformatics; 2022 Jun; 38(13):3351-3360. PubMed ID: 35604077
[TBL] [Abstract][Full Text] [Related]
7. SOFB is a comprehensive ensemble deep learning approach for elucidating and characterizing protein-nucleic-acid-binding residues.
Zhang B; Hou Z; Yang Y; Wong KC; Zhu H; Li X
Commun Biol; 2024 Jun; 7(1):679. PubMed ID: 38830995
[TBL] [Abstract][Full Text] [Related]
8. LMPhosSite: A Deep Learning-Based Approach for General Protein Phosphorylation Site Prediction Using Embeddings from the Local Window Sequence and Pretrained Protein Language Model.
Pakhrin SC; Pokharel S; Pratyush P; Chaudhari M; Ismail HD; Kc DB
J Proteome Res; 2023 Aug; 22(8):2548-2557. PubMed ID: 37459437
[TBL] [Abstract][Full Text] [Related]
9. An integration of deep learning with feature embedding for protein-protein interaction prediction.
Yao Y; Du X; Diao Y; Zhu H
PeerJ; 2019; 7():e7126. PubMed ID: 31245182
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Alignment-free metal ion-binding site prediction from protein sequence through pretrained language model and multi-task learning.
Yuan Q; Chen S; Wang Y; Zhao H; Yang Y
Brief Bioinform; 2022 Nov; 23(6):. PubMed ID: 36274238
[TBL] [Abstract][Full Text] [Related]
12. Improving protein-protein interaction site prediction using deep residual neural network.
Hu J; Dong M; Tang YX; Zhang GJ
Anal Biochem; 2023 Jun; 670():115132. PubMed ID: 36997014
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. MIonSite: Ligand-specific prediction of metal ion-binding sites via enhanced AdaBoost algorithm with protein sequence information.
Qiao L; Xie D
Anal Biochem; 2019 Feb; 566():75-88. PubMed ID: 30414728
[TBL] [Abstract][Full Text] [Related]
15. circRNA-binding protein site prediction based on multi-view deep learning, subspace learning and multi-view classifier.
Li H; Deng Z; Yang H; Pan X; Wei Z; Shen HB; Choi KS; Wang L; Wang S; Wu J
Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34571539
[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. DeepProSite: structure-aware protein binding site prediction using ESMFold and pretrained language model.
Fang Y; Jiang Y; Wei L; Ma Q; Ren Z; Yuan Q; Wei DQ
Bioinformatics; 2023 Dec; 39(12):. PubMed ID: 38015872
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Identification of Protein-Ligand Binding Sites by Sequence Information and Ensemble Classifier.
Ding Y; Tang J; Guo F
J Chem Inf Model; 2017 Dec; 57(12):3149-3161. PubMed ID: 29125297
[TBL] [Abstract][Full Text] [Related]
20. PST-PRNA: prediction of RNA-binding sites using protein surface topography and deep learning.
Li P; Liu ZP
Bioinformatics; 2022 Apr; 38(8):2162-2168. PubMed ID: 35150250
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]