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Connection

Zachary Haiman to Models, Biological

This is a "connection" page, showing publications Zachary Haiman has written about Models, Biological.

 
Connection Strength
 
 
 
0.976
 
  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.
    View in: PubMed
    Score: 0.529
  2. 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.
    View in: PubMed
    Score: 0.398
  3. 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, Fröhlich 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, König M, Liebermeister W, Sheriff RSM, Mandal S, McDougal R, Medley JK, Mendes P, Müller R, Myers CJ, Naldi A, Nguyen TVN, Nickerson DP, Olivier BG, Patoliya D, Paulevé L, Petzold LR, Priya A, Rampadarath AK, Rohwer JM, Saglam AS, Singh D, Sinha A, Snoep J, Sorby H, Spangler R, Starruß 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.
    View in: PubMed
    Score: 0.027
  4. 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.
    View in: PubMed
    Score: 0.021
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

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