ArticleJournal of computer-aided molecular design2025
Unveiling structural dynamics and allosteric vulnerabilities in Klebsiella pneumoniae KPHS_11890: an integrated DRKG-MD study.
Article in Journal of computer-aided molecular design, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Artificial intelligence revolutionizing CNS drug discovery and development.Drug discovery today · 2026Review
- Molecular docking analysis of FAS II fromBioinformation · 2026Article
Corrections and comments
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Authors and funding
16 authors.
Funding
Abstract
Klebsiella pneumoniae (K. pneumoniae), a multidrug-resistant Gram-negative bacillus, represents a significant global health threat due to its role in hospital-acquired infections and the emergence of carbapenem-resistant hypervirulent strains. This study integrates the Drug Repurposing Knowledge Graph (DRKG) with molecular dynamics (MD) simulations to identify and validate stable structural segments of the KPHS_11890 gene, which encodes a membrane fusion protein of the AcrAB-TolC efflux pump that is critical for antibiotic resistance in K. pneumoniae. Using the PyKEEN framework, a knowledge graph embedding model was trained on a comprehensive dataset combining DrugBank, K. pneumoniae strain sequences, and NCBI databases, identifying KPHS_11890 as a top-ranked candidate (Hits@10 = 0.1602). The structural reliability of the target was first confirmed via rigorous quality assessment (Ramachandran plot, ERRAT, and ProSA), followed by triplicate 100-ns molecular dynamics simulations using GROMACS 2025. The integrated analysis of essential dynamics and free energy landscapes (FEL) revealed a thermodynamically stable core domain (residues 18-342) and a critical functional hinge region near residue 115. The structural rigidity of the core suggests minimized entropic penalties for inhibitor binding, while the identified hinge motion presents a specific mechanical vulnerability for allosteric locking. This integrated DRKG-MD approach not only efficiently pinpoints high-potential targets but also elucidates their biophysical mechanisms, providing a robust structural basis for designing novel inhibitors to overcome efflux pump-mediated resistance.
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Registered trials
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