Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 253

The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.

DNA gyrase inhibitors: Progress and synthesis of potent compounds as antibacterial agents

Khan, Tabassum, Sankhe, Kaksha, Suvarna, Vasanti, Sherje, Atul, Patel, Kavitkumar, Dravyakar, Bhushan·2018·Biomedicine & Pharmacotherapy

Abstract

DNA gyrase is classified as topoisomerase II, an ATP-dependent enzyme that is vital in the transcription, replication of DNA and chromosome segregation processes. It plays a crucial role in all bacteria except higher eukaryotes and this makes it a desirable and viable therapeutic target for development of new antibacterial agents. Fluoroquinolones are commonly used effective antibacterial agents that target DNA gyrase, however the spectrum of side-effects and emerging bacterial resistance with no new drugs in the antibacterial pipeline has fuelled intensive research in this area. New chemical entities with varied scaffolds possessing DNA gyrase inhibiting properties have been determined by screening chemical libraries that could serve as good leads for antibacterial drug development. A wide range of natural products and protein-based compounds have been identified and studied as DNA gyrase inhibitors and this adds a huge amount of structural diversity that can be exploited and harnessed in the discovery of new antibacterial agents. The development of new chemical compounds with DNA gyrase inhibitory activity (from natural sources, random screens or rational design) will further validate/corroborate the potential of this enzyme as a useful target. This review presents an overview of the DNA gyrase inhibitors obtained from natural and synthetic sources, their syntheses schemes and spectrum of biological activity of a variety of scaffolds and their analogues. The authors hope to provide focused direction for development of new chemical entities, synthetic routes for analogue synthesis, structure activity relationships and biological activity. The most potent ones can be used as templates to design novel compounds targeting DNA gyrase and are effective against resistant bacterial strains and biofilms.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.biopha.2018.04.021

Cites

49 of 49 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 49 references

Cited by

See all 253

Metadata

Authors
Khan, T., Sankhe, K., Suvarna, V., Sherje, A., Patel, K., & Dravyakar, B.
Venue
Biomedicine & Pharmacotherapy
Publisher
Elsevier BV
Published
2018-07
Volume
103
Pages
923-938
ISSN
0753-3322 (ISSN-L)
OpenAlex
W2799775155
Cited by
253
References
49
FWCI
5.10
Type
journal article
Language
en
Open access
closed

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: DNA gyrase inhibitors: Progress and synthesis of potent compounds as antibacterial agents. https://app.cochat.ai/papers/10.1016/j.biopha.2018.04.021
The paper
Khan, T., Sankhe, K., Suvarna, V., Sherje, A., Patel, K., & Dravyakar, B. (2018). DNA gyrase inhibitors: Progress and synthesis of potent compounds as antibacterial agents. Biomedicine & Pharmacotherapy. https://doi.org/10.1016/j.biopha.2018.04.021

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.