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Journal Abstract Search

192 related items for PubMed ID: 21106131

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  • 3. Use of Chou's 5-steps rule to predict the subcellular localization of gram-negative and gram-positive bacterial proteins by multi-label learning based on gene ontology annotation and profile alignment.
    Bouziane H, Chouarfia A.
    J Integr Bioinform; 2020 Jun 29; 18(1):51-79. PubMed ID: 32598314
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  • 6. Network-based prediction of metabolic enzymes' subcellular localization.
    Mintz-Oron S, Aharoni A, Ruppin E, Shlomi T.
    Bioinformatics; 2009 Jun 15; 25(12):i247-52. PubMed ID: 19477995
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  • 9. CEGSO: Boosting Essential Proteins Prediction by Integrating Protein Complex, Gene Expression, Gene Ontology, Subcellular Localization and Orthology Information.
    Zhang W, Xue X, Xie C, Li Y, Liu J, Chen H, Li G.
    Interdiscip Sci; 2021 Sep 15; 13(3):349-361. PubMed ID: 33772722
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  • 10. SUBA4: the interactive data analysis centre for Arabidopsis subcellular protein locations.
    Hooper CM, Castleden IR, Tanz SK, Aryamanesh N, Millar AH.
    Nucleic Acids Res; 2017 Jan 04; 45(D1):D1064-D1074. PubMed ID: 27899614
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  • 11. MSLVP: prediction of multiple subcellular localization of viral proteins using a support vector machine.
    Thakur A, Rajput A, Kumar M.
    Mol Biosyst; 2016 Jul 19; 12(8):2572-86. PubMed ID: 27272007
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  • 12. Utilizing shared interacting domain patterns and Gene Ontology information to improve protein-protein interaction prediction.
    Roslan R, Othman RM, Shah ZA, Kasim S, Asmuni H, Taliba J, Hassan R, Zakaria Z.
    Comput Biol Med; 2010 Jun 19; 40(6):555-64. PubMed ID: 20417930
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  • 13. DualAligner: a dual alignment-based strategy to align protein interaction networks.
    Seah BS, Bhowmick SS, Dewey CF.
    Bioinformatics; 2014 Sep 15; 30(18):2619-26. PubMed ID: 24872427
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  • 16. PICKLE 2.0: A human protein-protein interaction meta-database employing data integration via genetic information ontology.
    Gioutlakis A, Klapa MI, Moschonas NK.
    PLoS One; 2017 Sep 15; 12(10):e0186039. PubMed ID: 29023571
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  • 17. Deducing intracellular distributions of metabolic pathways from genomic data.
    Gruber A, Kroth PG.
    Methods Mol Biol; 2014 Sep 15; 1083():187-211. PubMed ID: 24218217
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  • 18. 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 Sep 15; 18(4):e0284274. PubMed ID: 37083829
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  • 20. Identifying essential proteins based on sub-network partition and prioritization by integrating subcellular localization information.
    Li M, Li W, Wu FX, Pan Y, Wang J.
    J Theor Biol; 2018 Jun 14; 447():65-73. PubMed ID: 29571709
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