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Journal Abstract Search

296 related items for PubMed ID: 34496745

  • 21. 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; 12(7):e0182031. PubMed ID: 28753682
    [Abstract] [Full Text] [Related]

  • 22. Prediction of essential proteins based on subcellular localization and gene expression correlation.
    Fan Y, Tang X, Hu X, Wu W, Ping Q.
    BMC Bioinformatics; 2017 Dec 01; 18(Suppl 13):470. PubMed ID: 29219067
    [Abstract] [Full Text] [Related]

  • 23. Essential Protein Prediction Based on node2vec and XGBoost.
    Wang N, Zeng M, Li Y, Wu FX, Li M.
    J Comput Biol; 2021 Jul 01; 28(7):687-700. PubMed ID: 34152838
    [Abstract] [Full Text] [Related]

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

  • 25. Protein function annotation based on heterogeneous biological networks.
    Hu S, Luo Y, Zhang Z, Xiong H, Yan W, Jiang M, Zhao B.
    BMC Bioinformatics; 2022 Nov 18; 23(1):493. PubMed ID: 36401161
    [Abstract] [Full Text] [Related]

  • 26. Explore the hidden treasure in protein-protein interaction networks - an iterative model for predicting protein functions.
    Wang D, Hou J.
    J Bioinform Comput Biol; 2015 Oct 18; 13(5):1550026. PubMed ID: 26449174
    [Abstract] [Full Text] [Related]

  • 27. A deep learning framework for identifying essential proteins based on multiple biological information.
    Yue Y, Ye C, Peng PY, Zhai HX, Ahmad I, Xia C, Wu YZ, Zhang YH.
    BMC Bioinformatics; 2022 Aug 04; 23(1):318. PubMed ID: 35927611
    [Abstract] [Full Text] [Related]

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  • 30. Predicting essential proteins by integrating orthology, gene expressions, and PPI networks.
    Zhang X, Xiao W, Hu X.
    PLoS One; 2018 Aug 04; 13(4):e0195410. PubMed ID: 29634727
    [Abstract] [Full Text] [Related]

  • 31. DPCMNE: Detecting Protein Complexes From Protein-Protein Interaction Networks Via Multi-Level Network Embedding.
    Meng X, Xiang J, Zheng R, Wu FX, Li M.
    IEEE/ACM Trans Comput Biol Bioinform; 2022 Aug 04; 19(3):1592-1602. PubMed ID: 33417563
    [Abstract] [Full Text] [Related]

  • 32. A seed expansion-based method to identify essential proteins by integrating protein-protein interaction sub-networks and multiple biological characteristics.
    Zhao H, Liu G, Cao X.
    BMC Bioinformatics; 2023 Nov 30; 24(1):452. PubMed ID: 38036960
    [Abstract] [Full Text] [Related]

  • 33. Construction of dynamic probabilistic protein interaction networks for protein complex identification.
    Zhang Y, Lin H, Yang Z, Wang J.
    BMC Bioinformatics; 2016 Apr 27; 17(1):186. PubMed ID: 27117946
    [Abstract] [Full Text] [Related]

  • 34. United Neighborhood Closeness Centrality and Orthology for Predicting Essential Proteins.
    Li G, Li M, Wang J, Li Y, Pan Y.
    IEEE/ACM Trans Comput Biol Bioinform; 2020 Apr 27; 17(4):1451-1458. PubMed ID: 30596582
    [Abstract] [Full Text] [Related]

  • 35. Identification of essential proteins based on edge features and the fusion of multiple-source biological information.
    Liu P, Liu C, Mao Y, Guo J, Liu F, Cai W, Zhao F.
    BMC Bioinformatics; 2023 May 17; 24(1):203. PubMed ID: 37198530
    [Abstract] [Full Text] [Related]

  • 36. 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]

  • 37. Identifying protein complexes based on node embeddings obtained from protein-protein interaction networks.
    Liu X, Yang Z, Sang S, Zhou Z, Wang L, Zhang Y, Lin H, Wang J, Xu B.
    BMC Bioinformatics; 2018 Sep 21; 19(1):332. PubMed ID: 30241459
    [Abstract] [Full Text] [Related]

  • 38. An integrated method for identifying essential proteins from multiplex network model of protein-protein interactions.
    Athira K, Gopakumar G.
    J Bioinform Comput Biol; 2020 Aug 21; 18(4):2050020. PubMed ID: 32795133
    [Abstract] [Full Text] [Related]

  • 39. ACDMBI: A deep learning model based on community division and multi-source biological information fusion predicts essential proteins.
    Lu P, Tian J.
    Comput Biol Chem; 2024 Oct 21; 112():108115. PubMed ID: 38865861
    [Abstract] [Full Text] [Related]

  • 40. Effective comparative analysis of protein-protein interaction networks by measuring the steady-state network flow using a Markov model.
    Jeong H, Qian X, Yoon BJ.
    BMC Bioinformatics; 2016 Oct 06; 17(Suppl 13):395. PubMed ID: 27766938
    [Abstract] [Full Text] [Related]

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