BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

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]
    of 7.