Targeting histidinol-phosphate aminotransferase in Acinetobacter baumannii with salvianolic acid B: A structure-based approach to novel antibacterial strategies.

Undoubtedly, Acinetobacter baumannii is a major ESKAPE pathogen that poses a significant threat to public health, causing severe nosocomial infections with high mortality rates in healthcare settings. Due to the rapid development of antibiotic resistance, only a limited number of antibiotics remain effective against infections caused by multidrug-resistant (MDR) Acinetobacter baumannii. The discovery of new class of antibiotic molecules still lags behind the rate of growing worldwide burden of antimicrobial resistance (AMR). To expedite the discovery of new therapeutic molecules, we have focused on HisC from A. baumannii (AbHisC), a crucial enzyme involved in the seventh step of histidine biosynthesis. This pathway is absent in humans. We have employed the advanced computational techniques to target this promising drug target. AbHisC was cloned, overexpressed, and purified. Three distinct sets of libraries containing ∼60,000 natural compounds from ZINC database were screened against AbHisC using Schrödinger's glide module software. Based on the docking score and glide energy, top 25 hits were further subjected to induced fit (IF) docking. Top four out of the twenty five compounds from IF docking were subjected to 100ns molecular dynamics simulations, and it was observed that salvianolic acid B (SA-B) (a naturally occurring compound) complex with AbHisC, was found to be extremely stable. The glide energy and docking score of SA-B were -88.59 kcal/mol and -10.4 kcal/mol. SA-B was also found to quench the intrinsic fluorescence of tyrosine indicating its binding to the target. The dissociation constant calculated using Surface Plasmon Resonance was found to be 3.4x10 ^-9  M. Based on these results we can conclude that SA-B can serve as the potential inhibitor of AbHisC that can further form the basis of structure based drug design against this deadly pathogen.
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