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Journal Abstract Search

203 related items for PubMed ID: 23600810

  • 1. A survey of computational methods for protein complex prediction from protein interaction networks.
    Srihari S, Leong HW.
    J Bioinform Comput Biol; 2013 Apr; 11(2):1230002. PubMed ID: 23600810
    [Abstract] [Full Text] [Related]

  • 2. Methods for protein complex prediction and their contributions towards understanding the organisation, function and dynamics of complexes.
    Srihari S, Yong CH, Patil A, Wong L.
    FEBS Lett; 2015 Sep 14; 589(19 Pt A):2590-602. PubMed ID: 25913176
    [Abstract] [Full Text] [Related]

  • 3. 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 14; 17(1):1950001. PubMed ID: 30803297
    [Abstract] [Full Text] [Related]

  • 4. 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 14; 15(2):177-94. PubMed ID: 23780996
    [Abstract] [Full Text] [Related]

  • 5. 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 14; 63(3):181-9. PubMed ID: 25765008
    [Abstract] [Full Text] [Related]

  • 6. 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 Mar 14; 11(4):616-27. PubMed ID: 26356332
    [Abstract] [Full Text] [Related]

  • 7. 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]

  • 8. The impact of protein interaction networks' characteristics on computational complex detection methods.
    Liu X, Yang Z, Zhou Z, Sun Y, Lin H, Wang J, Xu B.
    J Theor Biol; 2018 Feb 14; 439():141-151. PubMed ID: 29217484
    [Abstract] [Full Text] [Related]

  • 9. Protein complex prediction: A survey.
    Zahiri J, Emamjomeh A, Bagheri S, Ivazeh A, Mahdevar G, Sepasi Tehrani H, Mirzaie M, Fakheri BA, Mohammad-Noori M.
    Genomics; 2020 Jan 14; 112(1):174-183. PubMed ID: 30660789
    [Abstract] [Full Text] [Related]

  • 10. Temporal dynamics of protein complexes in PPI networks: a case study using yeast cell cycle dynamics.
    Srihari S, Leong HW.
    BMC Bioinformatics; 2012 Jan 14; 13 Suppl 17(Suppl 17):S16. PubMed ID: 23282200
    [Abstract] [Full Text] [Related]

  • 11. From the static interactome to dynamic protein complexes: Three challenges.
    Yong CH, Wong L.
    J Bioinform Comput Biol; 2015 Apr 14; 13(2):1571001. PubMed ID: 25653145
    [Abstract] [Full Text] [Related]

  • 12. 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]

  • 13. Integrating experimental and literature protein-protein interaction data for protein complex prediction.
    Zhang Y, Lin H, Yang Z, Wang J.
    BMC Genomics; 2015 Jul 25; 16 Suppl 2(Suppl 2):S4. PubMed ID: 25708571
    [Abstract] [Full Text] [Related]

  • 14. Impact of low-confidence interactions on computational identification of protein complexes.
    Paul M, Anand A.
    J Bioinform Comput Biol; 2020 Aug 25; 18(4):2050025. PubMed ID: 32757809
    [Abstract] [Full Text] [Related]

  • 15. A least square method based model for identifying protein complexes in protein-protein interaction network.
    Dai Q, Guo M, Guo Y, Liu X, Liu Y, Teng Z.
    Biomed Res Int; 2014 Aug 25; 2014():720960. PubMed ID: 25405206
    [Abstract] [Full Text] [Related]

  • 16. 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]

  • 17. Identification of Essential Proteins Based on a New Combination of Local Interaction Density and Protein Complexes.
    Luo J, Qi Y.
    PLoS One; 2015 Sep 01; 10(6):e0131418. PubMed ID: 26125187
    [Abstract] [Full Text] [Related]

  • 18. Survey: Enhancing protein complex prediction in PPI networks with GO similarity weighting.
    Price T, Peña FI, Cho YR.
    Interdiscip Sci; 2013 Sep 01; 5(3):196-210. PubMed ID: 24307411
    [Abstract] [Full Text] [Related]

  • 19. Protein complex analysis: From raw protein lists to protein interaction networks.
    Meysman P, Titeca K, Eyckerman S, Tavernier J, Goethals B, Martens L, Valkenborg D, Laukens K.
    Mass Spectrom Rev; 2017 Sep 01; 36(5):600-614. PubMed ID: 26709718
    [Abstract] [Full Text] [Related]

  • 20. Utilizing both topological and attribute information for protein complex identification in PPI networks.
    Hu AL, Chan KC.
    IEEE/ACM Trans Comput Biol Bioinform; 2013 Sep 01; 10(3):780-92. PubMed ID: 24091410
    [Abstract] [Full Text] [Related]

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