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Brownian dynamic study of an enzyme metabolon in the TCA cycle: Substrate kinetics and channeling
Authors:Yu‐ming M. Huang  Gary A. Huber  Nuo Wang  Shelley D. Minteer  J. Andrew McCammon
Affiliation:1. Department of Pharmacology, University of California, San Diego, La Jolla, California;2. Howard Hughes Medical Institute, University of California, San Diego, La Jolla, California;3. Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, California;4. Department of Chemistry, The University of Utah, Salt Lake City, Utah
Abstract:Malate dehydrogenase (MDH) and citrate synthase (CS) are two pacemaking enzymes involved in the tricarboxylic acid (TCA) cycle. Oxaloacetate (OAA) molecules are the intermediate substrates that are transferred from the MDH to CS to carry out sequential catalysis. It is known that, to achieve a high flux of intermediate transport and reduce the probability of substrate leaking, a MDH‐CS metabolon forms to enhance the OAA substrate channeling. In this study, we aim to understand the OAA channeling within possible MDH‐CS metabolons that have different structural orientations in their complexes. Three MDH‐CS metabolons from native bovine, wild‐type porcine, and recombinant sources, published in recent work, were selected to calculate OAA transfer efficiency by Brownian dynamics (BD) simulations and to study, through electrostatic potential calculations, a possible role of charges that drive the substrate channeling. Our results show that an electrostatic channel is formed in the metabolons of native bovine and recombinant porcine enzymes, which guides the oppositely charged OAA molecules passing through the channel and enhances the transfer efficiency. However, the channeling probability in a suggested wild‐type porcine metabolon conformation is reduced due to an extended diffusion length between the MDH and CS active sites, implying that the corresponding arrangements of MDH and CS result in the decrease of electrostatic steering between substrates and protein surface and then reduce the substrate transfer efficiency from one active site to another.
Keywords:Krebs cycle  Brownian dynamics simulation  electrostatic property  association rate constant
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