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PUBMED FOR HANDHELDS

Journal Abstract Search


139 related items for PubMed ID: 29671402

  • 1. Annotating activation/inhibition relationships to protein-protein interactions using gene ontology relations.
    Yim S, Yu H, Jang D, Lee D.
    BMC Syst Biol; 2018 Apr 11; 12(Suppl 1):9. PubMed ID: 29671402
    [Abstract] [Full Text] [Related]

  • 2. 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 11; 56():41-8. PubMed ID: 25854804
    [Abstract] [Full Text] [Related]

  • 3. 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 11; 43(3):477-486. PubMed ID: 38436837
    [Abstract] [Full Text] [Related]

  • 4. Graph embeddings on gene ontology annotations for protein-protein interaction prediction.
    Zhong X, Rajapakse JC.
    BMC Bioinformatics; 2020 Dec 16; 21(Suppl 16):560. PubMed ID: 33323115
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  • 5. Gene Ontology Enrichment Improves Performances of Functional Similarity of Genes.
    Liu W, Liu J, Rajapakse JC.
    Sci Rep; 2018 Aug 14; 8(1):12100. PubMed ID: 30108262
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  • 6. An improved method for predicting interactions between virus and human proteins.
    Kim B, Alguwaizani S, Zhou X, Huang DS, Park B, Han K.
    J Bioinform Comput Biol; 2017 Feb 14; 15(1):1650024. PubMed ID: 27397631
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  • 7. 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 Feb 14; 7 Suppl 6(Suppl 6):S6. PubMed ID: 24564941
    [Abstract] [Full Text] [Related]

  • 8. NewGOA: Predicting New GO Annotations of Proteins by Bi-Random Walks on a Hybrid Graph.
    Yu G, Fu G, Wang J, Zhao Y.
    IEEE/ACM Trans Comput Biol Bioinform; 2018 Feb 14; 15(4):1390-1402. PubMed ID: 28641268
    [Abstract] [Full Text] [Related]

  • 9. 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 Feb 14; 15(4):1247-1258. PubMed ID: 26415209
    [Abstract] [Full Text] [Related]

  • 10. Impact of low-confidence interactions on computational identification of protein complexes.
    Paul M, Anand A.
    J Bioinform Comput Biol; 2020 Aug 14; 18(4):2050025. PubMed ID: 32757809
    [Abstract] [Full Text] [Related]

  • 11. Multi-label ℓ2-regularized logistic regression for predicting activation/inhibition relationships in human protein-protein interaction networks.
    Mei S, Zhang K.
    Sci Rep; 2016 Nov 07; 6():36453. PubMed ID: 27819359
    [Abstract] [Full Text] [Related]

  • 12. PPI finder: a mining tool for human protein-protein interactions.
    He M, Wang Y, Li W.
    PLoS One; 2009 Nov 07; 4(2):e4554. PubMed ID: 19234603
    [Abstract] [Full Text] [Related]

  • 13. protein2vec: Predicting Protein-Protein Interactions Based on LSTM.
    Zhang J, Zhu M, Qian Y.
    IEEE/ACM Trans Comput Biol Bioinform; 2022 Nov 07; 19(3):1257-1266. PubMed ID: 32750870
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  • 14. 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 07; 1869(6):140621. PubMed ID: 33561576
    [Abstract] [Full Text] [Related]

  • 15. 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 Jun 07; 12(10):e0186039. PubMed ID: 29023571
    [Abstract] [Full Text] [Related]

  • 16. Using the Gene Ontology tool to produce de novo protein-protein interaction networks with IS_A relationship.
    Oliveira GS, Santos AR.
    Genet Mol Res; 2016 Dec 19; 15(4):. PubMed ID: 28002604
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  • 17. TransformerGO: predicting protein-protein interactions by modelling the attention between sets of gene ontology terms.
    Ieremie I, Ewing RM, Niranjan M.
    Bioinformatics; 2022 Apr 12; 38(8):2269-2277. PubMed ID: 35176146
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  • 18. ppiPre: predicting protein-protein interactions by combining heterogeneous features.
    Deng Y, Gao L, Wang B.
    BMC Syst Biol; 2013 Apr 12; 7 Suppl 2(Suppl 2):S8. PubMed ID: 24565177
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  • 19. 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 12; 40(6):555-64. PubMed ID: 20417930
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  • 20. PPISEARCHENGINE: gene ontology-based search for protein-protein interactions.
    Park B, Cui G, Lee H, Huang DS, Han K.
    Comput Methods Biomech Biomed Engin; 2013 Jun 12; 16(7):691-8. PubMed ID: 22316075
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