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Fast-SNP: a fast matrix pre-processing algorithm for efficient loopless flux optimization of metabolic models

机译:Fast-SNP:一种快速的矩阵预处理算法,用于高效代谢模型的无环通量优化

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摘要

Motivation: Computation of steady-state flux solutions in large metabolic models is routinely performed using flux balance analysis based on a simple LP (Linear Programming) formulation. A minimal requirement for thermodynamic feasibility of the flux solution is the absence of internal loops, which are enforced using 'loopless constraints'. The resulting loopless flux problem is a substantially harder MILP (Mixed Integer Linear Programming) problem, which is computationally expensive for large metabolic models.
机译:动机:大型代谢模型中稳态通量溶液的计算通常使用基于简单LP(线性编程)公式的通量平衡分析进行。对通量解决方案的热力学可行性的最低要求是不存在内部回路,该回路使用“无回路约束”强制执行。产生的无环通量问题是实质上更困难的MILP(混合整数线性规划)问题,对于大型代谢模型,该问题在计算上昂贵。

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