Evidence map›Paper›PMID 28358034›Full record

ArticleInternational journal of oral science2017

In silico identification of potential inhibitors targeting Streptococcus mutans sortase A.

Hao Luo, Dan-Feng Liang, Min-Yue Bao, Rong Sun, Yuan-Yuan Li, Jian-Zong Li, Xin Wang, Kai-Min Lu, Jin-Ku Bao

Open access · goldAbstract read
In one paragraph

Article in International journal of oral science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
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  5. Potential Antibacterial of Leaf Sirih Merah AgainstCombinatorial chemistry & high throughput screening · 2025
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  6. Review
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  8. Virtual Screening of Inhibitors ofACS medicinal chemistry letters · 2024
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  11. Review
  12. 3,4,3'-Tri-RSC advances · 2022
    Article
  13. Novel antimicrobial agents targeting theFrontiers in cellular and infection microbiology · 2022
    Review
  14. Article
  15. Small Molecule Compounds, A Novel Strategy againstPathogens (Basel, Switzerland) · 2021
    Review
  16. Article
  17. Bio-Mechanism Inhibitory Prediction of β-Sitosterol from Kemangi (Advances and applications in bioinformatics and chemistry : AABC · 2021
    Article
  18. Article
  19. TargetingMedChemComm · 2019
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Hao LuoSchool of Life Sciences and Key Laboratory of Ministry of Education for Bio-Resources and Bio-Environment, Sichuan University, Chengdu, China.
Dan-Feng LiangSchool of Life Sciences and Key Laboratory of Ministry of Education for Bio-Resources and Bio-Environment, Sichuan University, Chengdu, China.
Min-Yue BaoSchool of Life Sciences and Key Laboratory of Ministry of Education for Bio-Resources and Bio-Environment, Sichuan University, Chengdu, China.
Rong SunSchool of Life Sciences and Key Laboratory of Ministry of Education for Bio-Resources and Bio-Environment, Sichuan University, Chengdu, China.
Yuan-Yuan LiSchool of Life Sciences and Key Laboratory of Ministry of Education for Bio-Resources and Bio-Environment, Sichuan University, Chengdu, China.
Jian-Zong LiSchool of Life Sciences and Key Laboratory of Ministry of Education for Bio-Resources and Bio-Environment, Sichuan University, Chengdu, China.
Xin WangSchool of Life Sciences and Key Laboratory of Ministry of Education for Bio-Resources and Bio-Environment, Sichuan University, Chengdu, China.
Kai-Min LuSchool of Life Sciences and Key Laboratory of Ministry of Education for Bio-Resources and Bio-Environment, Sichuan University, Chengdu, China.
Jin-Ku BaoSchool of Life Sciences and Key Laboratory of Ministry of Education for Bio-Resources and Bio-Environment, Sichuan University, Chengdu, China.
Sichuan University · CNState Key Laboratory of Biotherapy

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dental caries is one of the most common chronic diseases and is caused by acid fermentation of bacteria adhered to the teeth. Streptococcus mutans (S. mutans) utilizes sortase A (SrtA) to anchor surface proteins to the cell wall and forms a biofilm to facilitate its adhesion to the tooth surface. Some plant natural products, especially several flavonoids, are effective inhibitors of SrtA. However, given the limited number of inhibitors and the development of drug resistance, the discovery of new inhibitors is urgent. Here, the high-throughput virtual screening approach was performed to identify new potential inhibitors of S. mutans SrtA. Two libraries were used for screening, and nine compounds that had the lowest scores were chosen for further molecular dynamics simulation, binding free energy analysis and absorption, distribution, metabolism, excretion and toxicity (ADMET) properties analysis. The results revealed that several similar compounds composed of benzofuran, thiadiazole and pyrrole, which exhibited good affinities and appropriate pharmacokinetic parameters, were potential inhibitors to impede the catalysis of SrtA. In addition, the carbonyl of these compounds can have a key role in the inhibition mechanism. These findings can provide a new strategy for microbial infection disease therapy.

Indexed as

AminoacyltransferasesBacterial AdhesionBacterial ProteinsBenzofuransBiofilmsComputer SimulationCysteine EndopeptidasesDental CariesPyrrolesStreptococcus mutansThiadiazolesAminoacyltransferasesBacterial ProteinsbenzofuranBenzofuransCysteine EndopeptidasesPyrrolessortase AThiadiazoles

Identifiers

PMID28358034
PMCPMC5379162
OpenAlexW2601383610

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.