Multi-objective optimization model of cancer metabolism

dataset

posted on 2019-05-24, 18:41 authored by Ziwei DaiZiwei Dai

List of files:

1. Pareto_Solutions.csv: Pareto solutions (i.e. metabolic flux configurations with Pareto optimality in maximizing ATP or biomass production and minimizing enzyme abundance or carbon uptake) sampled for the multi-objective optimization model for cancer metabolism. 42,930 solutions in total.

2. GSMM.xlsx: Information about the genome-scale metabolic model.

3. Monotonousness_Scores.xlsx: Monotonousness scores related to proliferation or the Warburg effect for all metabolic enzymes included in the model.

4. Targets_Information.xlsx: Information about the model-predicted targets.

5. Survival_Analysis_Complete.xlsx: Complete results of the survival analysis for metabolic genes.

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Cancer metabolism genome-scale flux balance models metabolic network Systems Biology

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MIT

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