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Systematic analysis and integrative discovery of active-site subpocket-specific dehydroquinate synthase inhibitors combating antibiotic-resistant Staphylococcus aureus infection.

Authors :
Liu Q
Li L
Xu F
Source :
Journal of bioinformatics and computational biology [J Bioinform Comput Biol] 2018 Dec; Vol. 16 (6), pp. 1850027. Date of Electronic Publication: 2018 Oct 30.
Publication Year :
2018

Abstract

Shikimate pathway plays an essential role in the biosynthesis of aromatic amino acids in various plants and bacteria, which consists of seven key enzymes and they are all attractive targets for antibacterial agent development due to their absence in humans. The Staphylococcus aureus dehydroquinate synthase (SaDHQS) is involved in the second step of shikimate pathway, which catalyzes the NAD + -dependent conversion of 3-deoxy-D-arabino-heptulosonate-7-phosphate to dehydroquinate via multiple steps. The enzyme active site can be characterized by two spatially separated subpockets 1 and 2, which represent the reaction center of substrate adduct with NAD + nicotinamide moiety and the assistant binding site of NAD + adenine moiety, respectively. In silico virtual screening is performed against a biogenic compound library to discover SaDHQS subpocket-specific inhibitors, which were then tested against both antibiotic-sensitive and antibiotic-resistant S. aureus strains by using in vitro susceptibility test. The activity profile of hit compounds has no considerable difference between the antibiotic-sensitive and -resistant strains. The subpocket 1-specific inhibitors exhibit a generally higher activity than subpocket 2-specific inhibitors, and they also hold a strong selectivity between their cognate and noncognate subpockets. Dynamics and energetics analyses reveal that the SaDHQS active site prefers to interact with amphipathic and polar inhibitors by forming multiple hydrogen bonds and van der Waals packing at the complex interfaces of the two subpockets with their cognate inhibitors.

Details

Language :
English
ISSN :
1757-6334
Volume :
16
Issue :
6
Database :
MEDLINE
Journal :
Journal of bioinformatics and computational biology
Publication Type :
Academic Journal
Accession number :
30567475
Full Text :
https://doi.org/10.1142/S0219720018500270