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Zachary Haiman

TitlePost-Doctoral Fellow
InstitutionUniversity of Colorado Denver - Anschutz Medical Campus
DepartmentSOM-BioChem&Molecular Genetics

    Collapse Bibliographic 
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    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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    1. Haiman ZB, Key A, D'Alessandro A, Palsson BO. RBC-GEM: A genome-scale metabolic model for systems biology of the human red blood cell. PLoS Comput Biol. 2025 Mar; 21(3):e1012109. PMID: 40072998.
      View in: PubMed
    2. Sastry AV, Yuan Y, Poudel S, Rychel K, Yoo R, Lamoureux CR, Li G, Burrows JT, Chauhan S, Haiman ZB, Al Bulushi T, Seif Y, Palsson BO, Zielinski DC. iModulonMiner and PyModulon: Software for unsupervised mining of gene expression compendia. PLoS Comput Biol. 2024 Oct; 20(10):e1012546. PMID: 39441835.
      View in: PubMed
    3. Nemkov T, Stephenson D, Earley EJ, Keele GR, Hay A, Key A, Haiman ZB, Erickson C, Dzieciatkowska M, Reisz JA, Moore A, Stone M, Deng X, Kleinman S, Spitalnik SL, Hod EA, Hudson KE, Hansen KC, Palsson BO, Churchill GA, Roubinian N, Norris PJ, Busch MP, Zimring JC, Page GP, D'Alessandro A. Biological and genetic determinants of glycolysis: Phosphofructokinase isoforms boost energy status of stored red blood cells and transfusion outcomes. Cell Metab. 2024 Sep 03; 36(9):1979-1997.e13. PMID: 38964323.
      View in: PubMed
    4. Nemkov T, Stephenson D, Earley EJ, Keele GR, Hay A, Key A, Haiman Z, Erickson C, Dzieciatkowska M, Reisz JA, Moore A, Stone M, Deng X, Kleinman S, Spitalnik SL, Hod EA, Hudson KE, Hansen KC, Palsson BO, Churchill GA, Roubinian N, Norris PJ, Busch MP, Zimring JC, Page GP, D'Alessandro A. Biological and Genetic Determinants of Glycolysis: Phosphofructokinase Isoforms Boost Energy Status of Stored Red Blood Cells and Transfusion Outcomes. bioRxiv. 2024 Jun 11. PMID: 38260479.
      View in: PubMed
    5. Akbari A, Haiman ZB, Palsson BO. A data-driven approach for timescale decomposition of biochemical reaction networks. mSystems. 2024 Feb 20; 9(2):e0100123. PMID: 38259168.
      View in: PubMed
    6. Key A, Haiman Z, Palsson BO, D'Alessandro A. Modeling Red Blood Cell Metabolism in the Omics Era. Metabolites. 2023 Nov 11; 13(11). PMID: 37999241.
      View in: PubMed
    7. Akbari A, Haiman ZB, Palsson BO. A data-driven approach for timescale decomposition of biochemical reaction networks. bioRxiv. 2023 Aug 22. PMID: 37662221.
      View in: PubMed
    8. Shaikh B, Smith LP, Vasilescu D, Marupilla G, Wilson M, Agmon E, Agnew H, Andrews SS, Anwar A, Beber ME, Bergmann FT, Brooks D, Brusch L, Calzone L, Choi K, Cooper J, Detloff J, Drawert B, Dumontier M, Ermentrout GB, Faeder JR, Freiburger AP, Fr?hlich F, Funahashi A, Garny A, Gennari JH, Gleeson P, Goelzer A, Haiman Z, Hasenauer J, Hellerstein JL, Hermjakob H, Hoops S, Ison JC, Jahn D, Jakubowski HV, Jordan R, Kala? M, K?nig M, Liebermeister W, Sheriff RSM, Mandal S, McDougal R, Medley JK, Mendes P, M?ller R, Myers CJ, Naldi A, Nguyen TVN, Nickerson DP, Olivier BG, Patoliya D, Paulev? L, Petzold LR, Priya A, Rampadarath AK, Rohwer JM, Saglam AS, Singh D, Sinha A, Snoep J, Sorby H, Spangler R, Starru? J, Thomas PJ, van Niekerk D, Weindl D, Zhang F, Zhukova A, Goldberg AP, Schaff JC, Blinov ML, Sauro HM, Moraru II, Karr JR. BioSimulators: a central registry of simulation engines and services for recommending specific tools. Nucleic Acids Res. 2022 07 05; 50(W1):W108-W114. PMID: 35524558.
      View in: PubMed
    9. Haiman ZB, Zielinski DC, Koike Y, Yurkovich JT, Palsson BO. MASSpy: Building, simulating, and visualizing dynamic biological models in Python using mass action kinetics. PLoS Comput Biol. 2021 01; 17(1):e1008208. PMID: 33507922.
      View in: PubMed
    10. Heckmann D, Lloyd CJ, Mih N, Ha Y, Zielinski DC, Haiman ZB, Desouki AA, Lercher MJ, Palsson BO. Machine learning applied to enzyme turnover numbers reveals protein structural correlates and improves metabolic models. Nat Commun. 2018 12 07; 9(1):5252. PMID: 30531987.
      View in: PubMed
    11. Yurkovich JT, Alcantar MA, Haiman ZB, Palsson BO. Network-level allosteric effects are elucidated by detailing how ligand-binding events modulate utilization of catalytic potentials. PLoS Comput Biol. 2018 08; 14(8):e1006356. PMID: 30086174.
      View in: PubMed
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