Cited by 31Computational Drug Discovery MethodsSynthesis and Characterization of Heterocyclic CompoundsAntimicrobial Resistance in Staphylococcus

Cheminformatics-Driven Discovery of Selective, Nanomolar Inhibitors for Staphylococcal Pyruvate Kinase

Axerio-Cilies, Peter, See, Raymond H, Zoraghi, Roya, Worral, Liam, Lian, Tian, Stoynov, Nikolay, Jiang, Jihong, Kaur, Sukhbir +14 more·2012·ACS Chemical Biology

Abstract

We have recently mapped the protein interaction network of methicillin-resistant Staphylococcus aureus (MRSA), which revealed its scale-free organization with characteristic presence of highly connected hub proteins that are critical for bacterial survival. Here we report the discovery of inhibitors that are highly potent against one such hub target, staphylococcal pyruvate kinase (PK). Importantly, the developed compounds demonstrate complete selectivity for the bacterial enzyme compared to all human orthologues. The lead 91nM inhibitor IS-130 has been identified through ligand-based cheminformatic exploration of a chemical space around micromolar hits initially generated by experimental screening. The following crystallographic study resulted in identification of a tetrameric MRSA PK structure where IS-130 is bound to the interface between the protein's subunits. This newly described binding pocket is not present in otherwise highly similar human orthologues and can be effectively utilized for selective inhibition of bacterial PK. The following synthetic modifications of IS-130, guided by structure-based molecular modeling, resulted in the development of MRSA PK inhibitors with much improved antimicrobial properties. Considering a notable lack of recent reports on novel antibacterial targets and cognate antibacterial compounds, this study provides a valuable perspective on the development of a new generation of antimicrobials. Equally noteworthy, the results of the current work highlight the importance of rigorous cheminformatics-based exploration of the results of high-throughput experiments.

Integrity signals

Registry

Crossref · 10.1021/cb2003576

Cites

23 of 23 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Axerio-Cilies, P., See, R. H., Zoraghi, R., Worral, L., Lian, T., Stoynov, N., Jiang, J., Kaur, S., Jackson, L., Gong, H., Swayze, R., Amandoron, E., Kumar, N. S., Moreau, A., Hsing, M., Strynadka, N. C., McMaster, W. R., Finlay, B. B., Foster, L. J., Young, R. N., Reiner, N. E., & Cherkasov, A.
Affiliations
  • University of British Columbia (CA)
  • Simon Fraser University (CA)
  • Vancouver Prostate Centre (CA)
Corresponding author
  • Reiner, Neil E.
  • Cherkasov, Artem
Venue
ACS Chemical Biology
Published
2011-11-21
Volume
7
Issue
2
Pages
350-359
ISSN
  • 1554-8929 (ISSN-L)
  • 1554-8937
OpenAlex
W2073120190
Cited by
31
References
23
Citations by year
2026: 2 · 2025: 3 · 2024: 3 · 2023: 2 · 2022: 3 · 2021: 3 · 2020: 4 · 2019: 2 · 2017: 1 · 2015: 2 · 2014: 3 · 2013: 1 · 2012: 2
FWCI
2.11
Type
journal article
Language
en
Open access
closed
Locations
  • ACS Chemical Biology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
  • Physical Sciences › Chemistry › Organic Chemistry › Synthesis and Characterization of Heterocyclic Compounds
  • Health Sciences › Medicine › Infectious Diseases › Antimicrobial Resistance in Staphylococcus
Keywords
methicillin-resistant Staphylococcus aureus, hub proteins, protein-protein interaction network, ligand-based virtual screening, cheminformatics, structure-based drug design, binding pocket, antimicrobial drug discovery
MeSH terms
Amino Acid Sequence, Anti-Bacterial Agents, Enzyme Inhibitors, Humans, Models, Molecular, Molecular Sequence Data, Pyruvate Kinase, Staphylococcal Infections, Sequence Alignment, Methicillin-Resistant Staphylococcus aureus, Drug Discovery, Protein Interaction Maps

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review