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Journal Abstract Search

253 related items for PubMed ID: 32757809

  • 1. 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
    [Abstract] [Full Text] [Related]

  • 2. From Function to Interaction: A New Paradigm for Accurately Predicting Protein Complexes Based on Protein-to-Protein Interaction Networks.
    Xu B, Guan J.
    IEEE/ACM Trans Comput Biol Bioinform; 2014 Aug; 11(4):616-27. PubMed ID: 26356332
    [Abstract] [Full Text] [Related]

  • 3. Identifying protein complexes and functional modules--from static PPI networks to dynamic PPI networks.
    Chen B, Fan W, Liu J, Wu FX.
    Brief Bioinform; 2014 Mar; 15(2):177-94. PubMed ID: 23780996
    [Abstract] [Full Text] [Related]

  • 4. From communities to protein complexes: A local community detection algorithm on PPI networks.
    Dilmaghani S, Brust MR, Ribeiro CHC, Kieffer E, Danoy G, Bouvry P.
    PLoS One; 2022 Mar; 17(1):e0260484. PubMed ID: 35085263
    [Abstract] [Full Text] [Related]

  • 5. Survey: Enhancing protein complex prediction in PPI networks with GO similarity weighting.
    Price T, Peña FI, Cho YR.
    Interdiscip Sci; 2013 Sep; 5(3):196-210. PubMed ID: 24307411
    [Abstract] [Full Text] [Related]

  • 6. Detecting protein complexes in a PPI network: a gene ontology based multi-objective evolutionary approach.
    Mukhopadhyay A, Ray S, De M.
    Mol Biosyst; 2012 Nov; 8(11):3036-48. PubMed ID: 22990765
    [Abstract] [Full Text] [Related]

  • 7. A Type-2 fuzzy data fusion approach for building reliable weighted protein interaction networks with application in protein complex detection.
    Mehranfar A, Ghadiri N, Kouhsar M, Golshani A.
    Comput Biol Med; 2017 Sep 01; 88():18-31. PubMed ID: 28672176
    [Abstract] [Full Text] [Related]

  • 8. Integrating network topology, gene expression data and GO annotation information for protein complex prediction.
    Zhang W, Xu J, Li Y, Zou X.
    J Bioinform Comput Biol; 2019 Feb 01; 17(1):1950001. PubMed ID: 30803297
    [Abstract] [Full Text] [Related]

  • 9. 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 01; 56():41-8. PubMed ID: 25854804
    [Abstract] [Full Text] [Related]

  • 10. Filtering Gene Ontology semantic similarity for identifying protein complexes in large protein interaction networks.
    Wang J, Xie D, Lin H, Yang Z, Zhang Y.
    Proteome Sci; 2012 Jun 21; 10 Suppl 1(Suppl 1):S18. PubMed ID: 22759576
    [Abstract] [Full Text] [Related]

  • 11. An improved method for scoring protein-protein interactions using semantic similarity within the gene ontology.
    Jain S, Bader GD.
    BMC Bioinformatics; 2010 Nov 15; 11():562. PubMed ID: 21078182
    [Abstract] [Full Text] [Related]

  • 12. A multi-network clustering method for detecting protein complexes from multiple heterogeneous networks.
    Ou-Yang L, Yan H, Zhang XF.
    BMC Bioinformatics; 2017 Dec 01; 18(Suppl 13):463. PubMed ID: 29219066
    [Abstract] [Full Text] [Related]

  • 13. A New Family of Similarity Measures for Scoring Confidence of Protein Interactions Using Gene Ontology.
    Paul M, Anand A.
    IEEE/ACM Trans Comput Biol Bioinform; 2022 Dec 01; 19(1):19-30. PubMed ID: 34029194
    [Abstract] [Full Text] [Related]

  • 14. Integrating experimental and literature protein-protein interaction data for protein complex prediction.
    Zhang Y, Lin H, Yang Z, Wang J.
    BMC Genomics; 2015 Dec 01; 16 Suppl 2(Suppl 2):S4. PubMed ID: 25708571
    [Abstract] [Full Text] [Related]

  • 15. Predicting protein complexes from weighted protein-protein interaction graphs with a novel unsupervised methodology: Evolutionary enhanced Markov clustering.
    Theofilatos K, Pavlopoulou N, Papasavvas C, Likothanassis S, Dimitrakopoulos C, Georgopoulos E, Moschopoulos C, Mavroudi S.
    Artif Intell Med; 2015 Mar 01; 63(3):181-9. PubMed ID: 25765008
    [Abstract] [Full Text] [Related]

  • 16. Towards the identification of protein complexes and functional modules by integrating PPI network and gene expression data.
    Li M, Wu X, Wang J, Pan Y.
    BMC Bioinformatics; 2012 May 23; 13():109. PubMed ID: 22621308
    [Abstract] [Full Text] [Related]

  • 17. Identification of protein complexes from multi-relationship protein interaction networks.
    Li X, Wang J, Zhao B, Wu FX, Pan Y.
    Hum Genomics; 2016 Jul 25; 10 Suppl 2(Suppl 2):17. PubMed ID: 27461193
    [Abstract] [Full Text] [Related]

  • 18. A degree-distribution based hierarchical agglomerative clustering algorithm for protein complexes identification.
    Yu L, Gao L, Li K, Zhao Y, Chiu DK.
    Comput Biol Chem; 2011 Oct 12; 35(5):298-307. PubMed ID: 22000801
    [Abstract] [Full Text] [Related]

  • 19. Protein complex prediction in large ontology attributed protein-protein interaction networks.
    Zhang Y, Lin H, Yang Z, Wang J, Li Y, Xu B.
    IEEE/ACM Trans Comput Biol Bioinform; 2013 Oct 12; 10(3):729-41. PubMed ID: 24091405
    [Abstract] [Full Text] [Related]

  • 20. Comparative analysis of gene ontology-based semantic similarity measurements for the application of identifying essential proteins.
    Xue X, Zhang W, Fan A.
    PLoS One; 2023 Oct 12; 18(4):e0284274. PubMed ID: 37083829
    [Abstract] [Full Text] [Related]

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