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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

181 related articles for article (PubMed ID: 23152796)

  • 1. Efficient prediction of co-complexed proteins based on coevolution.
    de Vienne DM; Azé J
    PLoS One; 2012; 7(11):e48728. PubMed ID: 23152796
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Detecting reliable non interacting proteins (NIPs) significantly enhancing the computational prediction of protein-protein interactions using machine learning methods.
    Srivastava A; Mazzocco G; Kel A; Wyrwicz LS; Plewczynski D
    Mol Biosyst; 2016 Mar; 12(3):778-85. PubMed ID: 26738778
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Protein complex identification by integrating protein-protein interaction evidence from multiple sources.
    Xu B; Lin H; Chen Y; Yang Z; Liu H
    PLoS One; 2013; 8(12):e83841. PubMed ID: 24386289
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Improving protein complex prediction by reconstructing a high-confidence protein-protein interaction network of Escherichia coli from different physical interaction data sources.
    Taghipour S; Zarrineh P; Ganjtabesh M; Nowzari-Dalini A
    BMC Bioinformatics; 2017 Jan; 18(1):10. PubMed ID: 28049415
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Protein-protein interaction site predictions with three-dimensional probability distributions of interacting atoms on protein surfaces.
    Chen CT; Peng HP; Jian JW; Tsai KC; Chang JY; Yang EW; Chen JB; Ho SY; Hsu WL; Yang AS
    PLoS One; 2012; 7(6):e37706. PubMed ID: 22701576
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Predicting domain-domain interaction based on domain profiles with feature selection and support vector machines.
    González AJ; Liao L
    BMC Bioinformatics; 2010 Oct; 11():537. PubMed ID: 21034480
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Homology-based prediction of interactions between proteins using Averaged One-Dependence Estimators.
    Murakami Y; Mizuguchi K
    BMC Bioinformatics; 2014 Jun; 15():213. PubMed ID: 24953126
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identification of Essential Proteins Based on a New Combination of Local Interaction Density and Protein Complexes.
    Luo J; Qi Y
    PLoS One; 2015; 10(6):e0131418. PubMed ID: 26125187
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Ensemble learning prediction of protein-protein interactions using proteins functional annotations.
    Saha I; Zubek J; Klingström T; Forsberg S; Wikander J; Kierczak M; Maulik U; Plewczynski D
    Mol Biosyst; 2014 Apr; 10(4):820-30. PubMed ID: 24469380
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Machine learning on protein-protein interaction prediction: models, challenges and trends.
    Tang T; Zhang X; Liu Y; Peng H; Zheng B; Yin Y; Zeng X
    Brief Bioinform; 2023 Mar; 24(2):. PubMed ID: 36880207
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Large-scale protein-protein interactions detection by integrating big biosensing data with computational model.
    You ZH; Li S; Gao X; Luo X; Ji Z
    Biomed Res Int; 2014; 2014():598129. PubMed ID: 25215285
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prediction of Protein-Protein Interaction via co-occurring Aligned Pattern Clusters.
    Sze-To A; Fung S; Lee EA; Wong AKC
    Methods; 2016 Nov; 110():26-34. PubMed ID: 27476008
    [TBL] [Abstract][Full Text] [Related]  

  • 13. AE-LGBM: Sequence-based novel approach to detect interacting protein pairs via ensemble of autoencoder and LightGBM.
    Sharma A; Singh B
    Comput Biol Med; 2020 Oct; 125():103964. PubMed ID: 32911276
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prediction of Protein-Protein Interaction Sites with Machine-Learning-Based Data-Cleaning and Post-Filtering Procedures.
    Liu GH; Shen HB; Yu DJ
    J Membr Biol; 2016 Apr; 249(1-2):141-53. PubMed ID: 26563228
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Graph-based prediction of Protein-protein interactions with attributed signed graph embedding.
    Yang F; Fan K; Song D; Lin H
    BMC Bioinformatics; 2020 Jul; 21(1):323. PubMed ID: 32693790
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Application of Machine Learning Approaches for Protein-protein Interactions Prediction.
    Zhang M; Su Q; Lu Y; Zhao M; Niu B
    Med Chem; 2017; 13(6):506-514. PubMed ID: 28530547
    [TBL] [Abstract][Full Text] [Related]  

  • 17. ppiPre: predicting protein-protein interactions by combining heterogeneous features.
    Deng Y; Gao L; Wang B
    BMC Syst Biol; 2013; 7 Suppl 2(Suppl 2):S8. PubMed ID: 24565177
    [TBL] [Abstract][Full Text] [Related]  

  • 18. PPI_SVM: prediction of protein-protein interactions using machine learning, domain-domain affinities and frequency tables.
    Chatterjee P; Basu S; Kundu M; Nasipuri M; Plewczynski D
    Cell Mol Biol Lett; 2011 Jun; 16(2):264-78. PubMed ID: 21442443
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Prediction of Protein-Protein Interactions with Local Weight-Sharing Mechanism in Deep Learning.
    Yang L; Han Y; Zhang H; Li W; Dai Y
    Biomed Res Int; 2020; 2020():5072520. PubMed ID: 32626745
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Computational tools to predict context-specific protein complexes.
    Csikász-Nagy A; Fichó E; Noto S; Reguly I
    Curr Opin Struct Biol; 2024 Oct; 88():102883. PubMed ID: 38986166
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.