BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

188 related articles for article (PubMed ID: 33561576)

  • 1. Determining protein-protein functional associations by functional rules based on gene ontology and KEGG pathway.
    Zhang YH; Zeng T; Chen L; Huang T; Cai YD
    Biochim Biophys Acta Proteins Proteom; 2021 Jun; 1869(6):140621. PubMed ID: 33561576
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of Protein-Protein Interaction Associated Functions Based on Gene Ontology.
    Zhang YH; Huang F; Li J; Shen W; Chen L; Feng K; Huang T; Cai YD
    Protein J; 2024 Jun; 43(3):477-486. PubMed ID: 38436837
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Stringent DDI-based prediction of H. sapiens-M. tuberculosis H37Rv protein-protein interactions.
    Zhou H; Rezaei J; Hugo W; Gao S; Jin J; Fan M; Yong CH; Wozniak M; Wong L
    BMC Syst Biol; 2013; 7 Suppl 6(Suppl 6):S6. PubMed ID: 24564941
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Impact of low-confidence interactions on computational identification of protein complexes.
    Paul M; Anand A
    J Bioinform Comput Biol; 2020 Aug; 18(4):2050025. PubMed ID: 32757809
    [TBL] [Abstract][Full Text] [Related]  

  • 5. PathPPI: an integrated dataset of human pathways and protein-protein interactions.
    Tang H; Zhong F; Liu W; He F; Xie H
    Sci China Life Sci; 2015 Jun; 58(6):579-89. PubMed ID: 25591449
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Analysis of Protein-Protein Functional Associations by Using Gene Ontology and KEGG Pathway.
    Yuan F; Pan X; Chen L; Zhang YH; Huang T; Cai YD
    Biomed Res Int; 2019; 2019():4963289. PubMed ID: 31396531
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Graph embeddings on gene ontology annotations for protein-protein interaction prediction.
    Zhong X; Rajapakse JC
    BMC Bioinformatics; 2020 Dec; 21(Suppl 16):560. PubMed ID: 33323115
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Utilizing shared interacting domain patterns and Gene Ontology information to improve protein-protein interaction prediction.
    Roslan R; Othman RM; Shah ZA; Kasim S; Asmuni H; Taliba J; Hassan R; Zakaria Z
    Comput Biol Med; 2010 Jun; 40(6):555-64. PubMed ID: 20417930
    [TBL] [Abstract][Full Text] [Related]  

  • 9. IIIDB: a database for isoform-isoform interactions and isoform network modules.
    Tseng YT; Li W; Chen CH; Zhang S; Chen JJ; Zhou X; Liu CC
    BMC Genomics; 2015; 16 Suppl 2(Suppl 2):S10. PubMed ID: 25707505
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Exploring the relationship between hub proteins and drug targets based on GO and intrinsic disorder.
    Fu Y; Guo Y; Wang Y; Luo J; Pu X; Li M; Zhang Z
    Comput Biol Chem; 2015 Jun; 56():41-8. PubMed ID: 25854804
    [TBL] [Abstract][Full Text] [Related]  

  • 11. PICKLE 2.0: A human protein-protein interaction meta-database employing data integration via genetic information ontology.
    Gioutlakis A; Klapa MI; Moschonas NK
    PLoS One; 2017; 12(10):e0186039. PubMed ID: 29023571
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. IAS: Interaction Specific GO Term Associations for Predicting Protein-Protein Interaction Networks.
    Yerneni S; Khan IK; Wei Q; Kihara D
    IEEE/ACM Trans Comput Biol Bioinform; 2018; 15(4):1247-1258. PubMed ID: 26415209
    [TBL] [Abstract][Full Text] [Related]  

  • 14. L-GRAAL: Lagrangian graphlet-based network aligner.
    Malod-Dognin N; Pržulj N
    Bioinformatics; 2015 Jul; 31(13):2182-9. PubMed ID: 25725498
    [TBL] [Abstract][Full Text] [Related]  

  • 15. PPI finder: a mining tool for human protein-protein interactions.
    He M; Wang Y; Li W
    PLoS One; 2009; 4(2):e4554. PubMed ID: 19234603
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Computational methods for the prediction of protein-protein interactions.
    Xia JF; Wang SL; Lei YK
    Protein Pept Lett; 2010 Sep; 17(9):1069-78. PubMed ID: 20509849
    [TBL] [Abstract][Full Text] [Related]  

  • 17. MEGADOCK-Web: an integrated database of high-throughput structure-based protein-protein interaction predictions.
    Hayashi T; Matsuzaki Y; Yanagisawa K; Ohue M; Akiyama Y
    BMC Bioinformatics; 2018 May; 19(Suppl 4):62. PubMed ID: 29745830
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Two-Stage Geometric Method for Pruning Unreliable Links in Protein-Protein Networks.
    Zhu L; Deng SP; Huang DS
    IEEE Trans Nanobioscience; 2015 Jul; 14(5):528-34. PubMed ID: 25861086
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A survey on computational models for predicting protein-protein interactions.
    Hu L; Wang X; Huang YA; Hu P; You ZH
    Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33693513
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Heterogeneous data integration by tree-augmented naïve Bayes for protein-protein interactions prediction.
    Lin X; Chen XW
    Proteomics; 2013 Jan; 13(2):261-8. PubMed ID: 23112070
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.