A metal-aware library-expansion and virtual-screening workflow for Pseudomonas aeruginosa ATCC 15692 (PAO1) MraY identifies compound 5311309 with stable binding and mid-micromolar activity

Introduction: ); therefore, metal coordination is critical for reliable structure-based prioritization. Methods: ADMET. Results: Three hits (6675, 2733768, 5311309) were prioritized. In microsecond MD, compound 5311309 showed the most stable pose and key hotspot retention. ADMET indicated a permeability/efflux bottleneck along with liver-kidney and irritation/sensitization alerts, whereas hERG and AMES signals were favorable. In growth assays, compound 5311309 showed an IC50 of approximately 15.1 μM and an MIC of 64 μM. Conclusion: Metal-aware pocket modeling plus multi-level screening improved plausibility and ranking for this metal-dependent target, identifying compound 5311309 as a practical lead optimization starting point.

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Publication Details

Journal
Frontiers in Microbiology
Published
2026-04-07
DOI
https://doi.org/10.3389/fmicb.2026.1798540
Primary Topic
Computational Drug Discovery Methods
Type
article
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article

A metal-aware library-expansion and virtual-screening workflow for Pseudomonas aeruginosa ATCC 15692 (PAO1) MraY identifies compound 5311309 with stable binding and mid-micromolar activity

HE Zhengfu, Shengnan Jia, Lichen Zhang, Rui Chen
Frontiers in Microbiology
Computational Drug Discovery Methods
article

A metal-aware library-expansion and virtual-screening workflow for Pseudomonas aeruginosa ATCC 15692 (PAO1) MraY identifies compound 5311309 with stable binding and mid-micromolar activity

HE Zhengfu, Shengnan Jia, Lichen Zhang, Rui Chen
article en

Abstract

Introduction: ); therefore, metal coordination is critical for reliable structure-based prioritization. Methods: ADMET. Results: Three hits (6675, 2733768, 5311309) were prioritized. In microsecond MD, compound 5311309 showed the most stable pose and key hotspot retention. ADMET indicated a permeability/efflux bottleneck along with liver-kidney and irritation/sensitization alerts, whereas hERG and AMES signals were favorable. In growth assays, compound 5311309 showed an IC50 of approximately 15.1 μM and an MIC of 64 μM. Conclusion: Metal-aware pocket modeling plus multi-level screening improved plausibility and ranking for this metal-dependent target, identifying compound 5311309 as a practical lead optimization starting point.

Frontiers in MicrobiologyVol. 17
Jiangnan University (CN), Sir Run Run Shaw Hospital (CN), Zhejiang University (CN)
Openalex Percentile: Top 26%
Computational Drug Discovery Methods
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