title: Enzyme Kinetics for Complex System Enables Accurate Determination of Specificity Constants of Numerous Substrates in a Mixture by Proteomics Platform.
abstract: Many important experiments in proteomics including protein digestion, enzyme substrate screening, enzymatic labeling, etc., involve the enzymatic reactions in a complex system where numerous substrates coexists with an enzyme. However, the enzyme kinetics in such a system remains unexplored and poorly understood. Herein, we derived and validated the kinetics equations for the enzymatic reactions in complex system. We developed an iteration approach to depict the enzymatic reactions in complex system. It was validated by 630 time-course points from 24 enzymatic reaction experiments and was demonstrated to be a powerful tool to simulate the reactions in the complex system. By applying this approach, we found that the ratio of substrate depletion is independent of other coexisted substrates under specific condition. This observation was then validated by experiments. Based on this striking observation, a simplified model was developed to determine the catalytic efficiencies of numerous competing substrates presented in the complex enzyme reaction system. When coupled with high-throughput quantitative proteomics technique, this simplified model enabled the accurate determination of catalytic efficiencies for 2369 peptide substrates of a protease by using only one enzymatic reaction experiment. Thus, this study provided, in the first time, a validated model for the large scale determination of specificity constants which could enable the enzyme substrate screening approach turned from a qualitative method of identifying substrates to a quantitative method of identifying and prioritizing substrates. Data are available via ProteomeXchange with identifier PXD004665.
authors.affiliation: From the ‡Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China.|§Graduate School of Chinese Academy of Sciences, Beijing 100049, China.
authors.forename: Zhenzhen
authors.initials: Z
authors.lastname: Deng
authors.affiliation: From the ‡Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China.|§Graduate School of Chinese Academy of Sciences, Beijing 100049, China.
authors.forename: Jiawei
authors.initials: J
authors.lastname: Mao
authors.affiliation: From the ‡Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China.|§Graduate School of Chinese Academy of Sciences, Beijing 100049, China.
authors.forename: Yan
authors.initials: Y
authors.lastname: Wang
authors.affiliation: From the ‡Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China.
authors.forename: Hanfa
authors.initials: H
authors.lastname: Zou
authors.affiliation: From the ‡Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China; mingliang@dicp.ac.cn.
authors.forename: Mingliang
authors.initials: M
authors.lastname: Ye
mesh_terms: D000465:Algorithms; D004798:Enzymes / Q000378:metabolism*; D057166:High-Throughput Screening Assays; D007700:Kinetics; D008962:Models, Theoretical; D010455:Peptides / Q000032:analysis*; D040901:Proteomics / Q000379:methods*; D013379:Substrate Specificity
chemical_list: D004798:Enzymes; D010455:Peptides