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Journal Abstract Search

200 related items for PubMed ID: 30596582

  • 21. Centralities in simplicial complexes. Applications to protein interaction networks.
    Estrada E, Ross GJ.
    J Theor Biol; 2018 Feb 07; 438():46-60. PubMed ID: 29128505
    [Abstract] [Full Text] [Related]

  • 22. Prediction of Essential Proteins Based on Local Interaction Density.
    Qi Y, Luo J.
    IEEE/ACM Trans Comput Biol Bioinform; 2016 Feb 07; 13(6):1170-1182. PubMed ID: 26701891
    [Abstract] [Full Text] [Related]

  • 23. A new method for predicting essential proteins based on participation degree in protein complex and subgraph density.
    Lei X, Yang X.
    PLoS One; 2018 Feb 07; 13(6):e0198998. PubMed ID: 29894517
    [Abstract] [Full Text] [Related]

  • 24. Functional centrality: detecting lethality of proteins in protein interaction networks.
    Tew KL, Li XL, Tan SH.
    Genome Inform; 2007 Feb 07; 19():166-77. PubMed ID: 18546514
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  • 29. Construction of Refined Protein Interaction Network for Predicting Essential Proteins.
    Li M, Ni P, Chen X, Wang J, Wu FX, Pan Y.
    IEEE/ACM Trans Comput Biol Bioinform; 2019 Feb 07; 16(4):1386-1397. PubMed ID: 28186903
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  • 30. Identifying essential proteins using modified-monkey algorithm (MMA).
    Payra AK, Ghosh A.
    Comput Biol Chem; 2020 Oct 07; 88():107324. PubMed ID: 32623358
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  • 32. Virtual identification of essential proteins within the protein interaction network of yeast.
    Estrada E.
    Proteomics; 2006 Jan 07; 6(1):35-40. PubMed ID: 16281187
    [Abstract] [Full Text] [Related]

  • 33. A new computational strategy for identifying essential proteins based on network topological properties and biological information.
    Qin C, Sun Y, Dong Y.
    PLoS One; 2017 Jan 07; 12(7):e0182031. PubMed ID: 28753682
    [Abstract] [Full Text] [Related]

  • 34. An iteration model for identifying essential proteins by combining comprehensive PPI network with biological information.
    Li S, Zhang Z, Li X, Tan Y, Wang L, Chen Z.
    BMC Bioinformatics; 2021 Sep 08; 22(1):430. PubMed ID: 34496745
    [Abstract] [Full Text] [Related]

  • 35. A protein network refinement method based on module discovery and biological information.
    Pan L, Wang H, Yang B, Li W.
    BMC Bioinformatics; 2024 Apr 20; 25(1):157. PubMed ID: 38643108
    [Abstract] [Full Text] [Related]

  • 36. Identification of essential proteins based on ranking edge-weights in protein-protein interaction networks.
    Wang Y, Sun H, Du W, Blanzieri E, Viero G, Xu Y, Liang Y.
    PLoS One; 2014 Apr 20; 9(9):e108716. PubMed ID: 25268881
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  • 37. Essentiality and centrality in protein interaction networks revisited.
    Khuri S, Wuchty S.
    BMC Bioinformatics; 2015 Apr 01; 16():109. PubMed ID: 25880655
    [Abstract] [Full Text] [Related]

  • 38. Predicting Essential Proteins by Integrating Network Topology, Subcellular Localization Information, Gene Expression Profile and GO Annotation Data.
    Zhang W, Xu J, Zou X.
    IEEE/ACM Trans Comput Biol Bioinform; 2020 Apr 01; 17(6):2053-2061. PubMed ID: 31095490
    [Abstract] [Full Text] [Related]

  • 39. A New Method for Identifying Essential Proteins by Measuring Co-Expression and Functional Similarity.
    Zhang W, Xu J, Li X, Zou X.
    IEEE Trans Nanobioscience; 2016 Dec 01; 15(8):939-945. PubMed ID: 27834650
    [Abstract] [Full Text] [Related]

  • 40. Identifying essential proteins from active PPI networks constructed with dynamic gene expression.
    Xiao Q, Wang J, Peng X, Wu FX, Pan Y.
    BMC Genomics; 2015 Dec 01; 16 Suppl 3(Suppl 3):S1. PubMed ID: 25707432
    [Abstract] [Full Text] [Related]

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