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Journal Abstract Search

176 related items for PubMed ID: 33040223

  • 1. Identification of Protein Complexes Based on Core-Attachment Structure and Combination of Centrality Measures and Biological Properties in PPI Weighted Networks.
    Elahi A, Babamir SM.
    Protein J; 2020 Dec; 39(6):681-702. PubMed ID: 33040223
    [Abstract] [Full Text] [Related]

  • 2. Identifying protein complexes based on an edge weight algorithm and core-attachment structure.
    Wang R, Liu G, Wang C.
    BMC Bioinformatics; 2019 Sep 14; 20(1):471. PubMed ID: 31521132
    [Abstract] [Full Text] [Related]

  • 3. Neighbor Affinity-Based Core-Attachment Method to Detect Protein Complexes in Dynamic PPI Networks.
    Lei X, Liang J.
    Molecules; 2017 Jul 24; 22(7):. PubMed ID: 28737728
    [Abstract] [Full Text] [Related]

  • 4. Identifying protein complex by integrating characteristic of core-attachment into dynamic PPI network.
    Shen X, Yi L, Jiang X, He T, Yang J, Xie W, Hu P, Hu X.
    PLoS One; 2017 Jul 24; 12(10):e0186134. PubMed ID: 29045465
    [Abstract] [Full Text] [Related]

  • 5. 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 Jul 24; 2014():720960. PubMed ID: 25405206
    [Abstract] [Full Text] [Related]

  • 6. A Method for Predicting Protein Complexes from Dynamic Weighted Protein-Protein Interaction Networks.
    Liu L, Sun X, Song W, Du C.
    J Comput Biol; 2018 Jun 24; 25(6):586-605. PubMed ID: 29668304
    [Abstract] [Full Text] [Related]

  • 7. Identification of Protein Complexes Using Weighted PageRank-Nibble Algorithm and Core-Attachment Structure.
    Peng W, Wang J, Zhao B, Wang L.
    IEEE/ACM Trans Comput Biol Bioinform; 2015 Jun 24; 12(1):179-92. PubMed ID: 26357088
    [Abstract] [Full Text] [Related]

  • 8. Identifying protein complexes based on multiple topological structures in PPI networks.
    Chen B, Wu FX.
    IEEE Trans Nanobioscience; 2013 Sep 24; 12(3):165-72. PubMed ID: 23974659
    [Abstract] [Full Text] [Related]

  • 9. Identification of Essential Proteins Based on a New Combination of Local Interaction Density and Protein Complexes.
    Luo J, Qi Y.
    PLoS One; 2015 Sep 24; 10(6):e0131418. PubMed ID: 26125187
    [Abstract] [Full Text] [Related]

  • 10. Detecting overlapping protein complexes in weighted PPI network based on overlay network chain in quotient space.
    Zhao J, Lei X.
    BMC Bioinformatics; 2019 Dec 24; 20(Suppl 25):682. PubMed ID: 31874605
    [Abstract] [Full Text] [Related]

  • 11. 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]

  • 12. Construction of ontology augmented networks for protein complex prediction.
    Zhang Y, Lin H, Yang Z, Wang J.
    PLoS One; 2013 Dec 01; 8(5):e62077. PubMed ID: 23650509
    [Abstract] [Full Text] [Related]

  • 13. A density-based clustering approach for identifying overlapping protein complexes with functional preferences.
    Hu L, Chan KC.
    BMC Bioinformatics; 2015 May 27; 16():174. PubMed ID: 26013799
    [Abstract] [Full Text] [Related]

  • 14. A method based on local density and random walks for complexes detection in protein interaction networks.
    Yu L, Gao L, Li K.
    J Bioinform Comput Biol; 2010 Dec 27; 8 Suppl 1():47-62. PubMed ID: 21155019
    [Abstract] [Full Text] [Related]

  • 15. 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 27; 17(1):1950001. PubMed ID: 30803297
    [Abstract] [Full Text] [Related]

  • 16. 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 27; 63(3):181-9. PubMed ID: 25765008
    [Abstract] [Full Text] [Related]

  • 17. 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]

  • 18. CAMWI: Detecting protein complexes using weighted clustering coefficient and weighted density.
    Lakizadeh A, Jalili S, Marashi SA.
    Comput Biol Chem; 2015 Oct 12; 58():231-40. PubMed ID: 26319550
    [Abstract] [Full Text] [Related]

  • 19. Identifying protein complexes from protein-protein interaction networks based on the gene expression profile and core-attachment approach.
    Noori S, Al-A'Araji N, Al-Shamery E.
    J Bioinform Comput Biol; 2021 Jun 12; 19(3):2150009. PubMed ID: 33910494
    [Abstract] [Full Text] [Related]

  • 20. Discovering essential proteins based on PPI network and protein complex.
    Ren J, Wang J, Li M, Wu F.
    Int J Data Min Bioinform; 2015 Jun 12; 12(1):24-43. PubMed ID: 26489140
    [Abstract] [Full Text] [Related]

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