To evaluate their role in the active site of the MurG enzyme from Escherichia coli, 13 residues conserved in the sequences of 73 MurG orthologues were submitted to site-directed mutagenesis. All these residues lay within, or close to, the active site of MurG as defined by its tridimensional structure [Ha et al., Prot. Sci. 9 (2000) 1045-1052, and Hu et al., Proc. Natl. Acad. Sci. USA 100 (2003) 845-849]. Thirteen mutants proteins, in which residues T15, H18, Y105, H124, E125, N127, N134, S191, N198, R260, E268, Q288 or N291 have been replaced by alanine, were obtained as the C-terminal His-tagged forms. The effects of the mutations on the activity were checked: (i) by functional complementation of an E. coli murG mutant strain by the mutated genes; and (ii) by the determination of the steady-state kinetic parameters of the purified proteins. Most mutations resulted in an important loss of activity and, in the case of N134A, in the production of a highly unstable protein. The results correlated with the assigned or putative functions of the residues based on the tridimensional structure.
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http://dx.doi.org/10.1016/j.biochi.2007.06.011 | DOI Listing |
Arch Biochem Biophys
January 2025
Department of Biochemistry, University of Missouri, Columbia, Missouri 65211, United States; Department of Chemistry, University of Missouri, Columbia, Missouri 65211, United States. Electronic address:
The mitochondrial flavoenzymes proline dehydrogenase (PRODH) and hydroxyproline dehydrogenase (PRODH2) catalyze the first steps of proline and hydroxyproline catabolism, respectively. The enzymes are targets for chemical probe development because of their roles in cancer cell metabolism (PRODH) and primary hyperoxaluria (PRODH2). Mechanism-based inactivators of PRODH target the FAD by covalently modifying the N5 atom, with N-propargylglycine (NPPG) being the current best-in-class of this type of probe.
View Article and Find Full Text PDFActa Pharmacol Sin
January 2025
Shanghai Institute for Advanced Immunochemical Studies and School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China.
Computational target identification plays a pivotal role in the drug development process. With the significant advancements of deep learning methods for protein structure prediction, the structural coverage of human proteome has increased substantially. This progress inspired the development of the first genome-wide small molecule targets scanning method.
View Article and Find Full Text PDFJ Neurointerv Surg
January 2025
Department of Neurology, UTHealth Houston McGovern Medical School, Houston, Texas, USA
Background: Automated machine learning (ML)-based large vessel occlusion (LVO) detection algorithms have been shown to improve in-hospital workflow metrics including door-to-groin time (DTG). The degree to which care team engagement and interaction are required for these benefits remains incompletely characterized.
Methods: This analysis was conducted as a pre-planned post-hoc analysis of a randomized prospective clinical trial.
In the leucine (Leu) biosynthesis pathway, homeostasis is achieved through a feedback regulatory mechanism facilitated by the binding of the end-product Leu at the C-terminal regulatory domain of the first committed enzyme, isopropylmalate synthase (IPMS). In vitro studies have shown that removing the regulatory domain abolishes the feedback regulation on plant IPMS while retaining its catalytic activity. However, the physiological consequences and underlying molecular regulation on Leu flux upon removing the IPMS C-terminal domain remain to be explored in plants.
View Article and Find Full Text PDFAcc Chem Res
January 2025
The Department of Chemistry, State University of New York at Binghamton, Binghamton, New York 13902, United States.
ConspectusIn the search for efficient and selective electrocatalysts capable of converting greenhouse gases to value-added products, enzymes found in naturally existing bacteria provide the basis for most approaches toward electrocatalyst design. Ni,Fe-carbon monoxide dehydrogenase (Ni,Fe-CODH) is one such enzyme, with a nickel-iron-sulfur cluster named the C-cluster, where CO binds and is converted to CO at high rates near the thermodynamic potential. In this Account, we divide the enzyme's catalytic contributions into three categories based on location and function.
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