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    Veröffentlichungen 2022

    Universität Potsdam - Institut für Biochemie und Biologie - AG Bioinformatik - Veröffentlichungen – 2022

    Zhu F, Alseekh S, Koper K, Tong H, Nikoloski Z, Naake T, Liu H, Yan J, Brotman Y, Wen W, Maeda H, Cheng Y, Fernie A R.
    Genome-wide association of the metabolic shifts underpinning dark-induced senescence in Arabidopsis
    The Plant Cell, 2022 Jan; 34 (1), 557–578

    Wendering P, Nikoloski Z, Hug L A, Shi J.
    Genome-Scale Modeling Specifies the Metabolic Capabilities of Rhizophagus irregularis
    mSystems, 2022 Jan; 7 (1) 01216-21

    Treves H, Küken A, Arrivault S, Ishihara H, Hoppe I, Erban A, Höhne M, Moraes T. A, Kopka J, Szymanski J, Nikoloski Z, Stitt M.
    Carbon flux through photosynthesis and central carbon metabolism show distinct patterns between algae, C3 and C4 plants.
    Nature plants 8 (1), 78-91

    Wendering P, Arend M, Nikoloski Z.
    Estimates of in vivo turnover numbers by simultaneously considering data from multiple conditions improve metabolic predictions.
    bioRxiv, 2022 Jan

    Tong H, Nankar AN, Liu J, Todorova V, Ganeva D, Grozeva S, Tringovska I, Pasev G, Radeva-Ivanova V, Gechev T, Kostova D, Nikoloski Z.
    Genomic prediction of morphometric and colorimetric traits in Solanaceous fruits.
    Horticulture Research, Volume 9, 2022, uhac072

    Arend M, Yuan Y, Águila Ruiz-Sola M, Omranian N, Nikoloski Z, Petroutsos D.
    Widening the landscape of transcriptional regulation of algal photoprotection
    bioRxiv 2022.02.25.482034

    Wendering P, Nikoloski Z.
    COMMIT: Consideration of metabolite leakage and community composition improves microbial community reconstructions.
    PLoS computational biology 18 (3), e1009906

    Küken A, Langary D, Nikoloski Z.
    The hidden simplicity of metabolic networks is revealed by multireaction dependencies.
    Science advances 8 (13), eabl6962

    Liu Z, Østerlund I, Ruhnow F, Cao Y, Huang G, Cai W, Zhang J, Liang W, Nikoloski Z, Persson S, Zhang D.
    Fluorescent cytoskeletal markers reveal associations between the actin and microtubule cytoskeleton in rice cells.
    Development (2022) 149 (12): dev200415

    Omranian S, Nikoloski Z, Grimm D. G.
    Computational identification of protein complexes from network interactions: Present state, challenges, and the way forward.
    Computational and Structural Biotechnology Journal, 2022 May

    Arend M, Yuan Y, Águila Ruiz-Sola M, Omranian N, Nikoloski Z, Petroutsos D.
    Data integration across conditions improves turnover number estimates and metabolic predictions.
    bioRxiv 2022.04.01.486742

    Hashemi S, Razaghi-Moghadam Z, Laitinen R , Nikoloski Z.
    Relative flux trade-offs and optimization of metabolic network functionalities.
    Computational and Structural Biotechnology Journal, Volume 20, 2022, Pages 3963-3971

    Huß, S, Judd, R S, Koper, K, Maeda, H A, Nikoloski, Z.
    An automated workflow that generates atom mappings for large-scale metabolic models and its application to Arabidopsis thaliana.
    Plant J, 111: 1486-1500

    Hashemi S, Laitinen R, Nikoloski Z.
    Models and molecular mechanisms for trade-offs in the context of metabolism.
    Authorea Preprints; 2022

    Matz T W, Wang Y, Kulshreshtha R, Sampathkumar A, Nikoloski Z.
    Topological properties accurately predict cell division events and organization of shoot apical meristem in Arabidopsis thaliana.
    Development 15 August 2022; 149 (16): dev201024

    Ferreira M A d M, Silveira W B d, Nikoloski Z.
    PARROT: Prediction of enzyme abundances using protein-constrained metabolic models.
    Authorea Preprints; 2022.

    Ruiz-Sola MÁ, Flori S, Yuan Y, Villain G, Sanz-Luque E, Redekop P, Tokutsu R, Kueken A, Tsichla A, Kepesidis G, Allorent G., Nikoloski Z.
    Light-independent regulation of algal photoprotection by CO2 availability.
    https://doi.org/10.21203/rs.3.rs-1886294/v1

    Mbebi AJ, Breitler JC, Bordeaux M, Sulpice R, McHale M, Tong H, Toniutti L, Castillo JA, Bertrand B, Nikoloski Z.
    A comparative analysis of genomic and phenomic predictions of growth-related traits in 3-way coffee hybrids.
    G3: Genes| Genomes| Genetics. 2022 Sep;12(9).

    Omranian S, Nikoloski Z.
    CUBCO+: prediction of protein complexes based on min-cut network partitioning into biclique spanned subgraphs.
    Appl Netw Sci 7, 71 (2022)

    Orf I, Tenenboim H, Omranian N, Nikoloski Z, Fernie AR, Lisec J, Brotman Y, Bromke MA.
    Transcriptomic and Metabolomic Analysis of a Pseudomonas-Resistant versus a Susceptible Arabidopsis Accession.
    International Journal of Molecular Sciences. 2022; 23(20):12087.

    Laitinen RA, Nikoloski Z.
    Strategies to identify and dissect trade-offs in plants.
    Molecular Ecology. 2022 Nov.

    Wiszniewski AA, Uberegui E, Messer M, Sultanova G, Borghi M, Duarte GT, Vicente R, Sageman-Furnas K, Fernie AR, Nikoloski Z, Laitinen RA.
    Temperature-mediated flower size plasticity in Arabidopsis.
    iScience. 2022 Nov 18;25(11).

    Østerlund I, Persson S, Nikoloski Z.
    Tracing and tracking filamentous structures across scales: A systematic review.
    Computational and Structural Biotechnology Journal. 2022 Dec 16;21:452-62.