Method for determining and optimizing high-sensitivity parameters of enzyme constrained metabolism network model

• Main Authors: YAN XUEFENG, FAN XINGCUN, CAO LINGFENG
• Format: Patent
• Language: Chinese; English
• Published: 03.01.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; PHYSICS

The invention discloses a method for determining and optimizing high-sensitivity parameters of an enzyme-constrained metabolism network model, which comprises the following steps of: sorting parameters in the model from high to low according to the contribution of a contrast growth rate prediction result by a sensitivity analysis method, and selecting the parameters with higher contribution to optimize; then parameter optimization is carried out by using a differential evolution algorithm of an adaptive variation strategy, the variation strategy can be adaptively selected so as to improve the optimization efficiency, specific growth rate data under different growth conditions are obtained from a database, a part of training sets are selected from the data, and finally, the specific growth rate data are analyzed through flux variability and a phase plane analysis method. Obtaining a performance evaluation result for the optimized model; the high-sensitivity parameter is a turnover number kcat parameter of the