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Connection

Zachary Haiman to Metabolic Networks and Pathways

This is a "connection" page, showing publications Zachary Haiman has written about Metabolic Networks and Pathways.

 
Connection Strength
 
 
 
0.947
 
  1. 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: 0.612
  2. 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: 0.203
  3. 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: 0.132
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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