摘要
代谢通量是描述生物体内代谢的重要指标,在医学与生物工程等领域有着广泛应用.代谢通量极限更是对揭示生物体内化学反应机制、预测生物体生长代谢特性和生态系统研究有着重要意义.代谢通量极限的计算也被广泛地应用于生物制造工程、寻找疾病治疗靶点和研发药物方面.但目前的传统计算代谢通量的方法仅依靠理化性质约束,所得到的代谢通量极限不一定会真实发生.论文在生物体进化的群体中引入帕累托前沿的概念,并基于已知的代谢通量数据进行代谢通量极限预测.
Abstract
Metabolic flux,an important indicator describing the metabolism within living organisms,is widely applied in fields such as medicine and bioengineering.Metabolic flux limits are crucial for re-vealing the mechanisms of chemical reactions in living organisms,predicting the metabolic characteris-tics of organisms'growth,and studying ecosystems.Calculating metabolic flux limits is extensively used in bio-manufacturing engineering,identifying disease treatment targets,and drug development.Howev-er,the current traditional methods for calculating metabolic flux limits solely rely on physicochemical constraints,and the obtained limits may not necessarily reflect real occurrences.In this paper,we intro-duce the concept of Pareto frontier in the population of organism evolution and predict metabolic flux limits by using known metabolic flux data.
基金项目
国家自然科学基金项目(32260225)
贵州省自然科学基金重点项目(QIANKEHEJICHU-ZK[2021]Key038)
NETL
NSTL
维普
万方数据