Evidence map›Paper›PMID 36979940›Full record

ArticleBiomedicines2023

In Silico Identification of Lead Compounds for Pseudomonas Aeruginosa PqsA Enzyme: Computational Study to Block Biofilm Formation.

Muhammad Shahab, Muhammad Danial, Taimur Khan, Chaoqun Liang, Xiuyuan Duan, Daixi Wang, Hanzi Gao, Guojun Zheng

Open access · goldFull text read
In one paragraph

Article in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.0field-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

3 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

8 authors at 2 institutions in 1 country.

Muhammad ShahabState Key Laboratories of Chemical Resources Engineering, Beijing University of Chemical Technology, Beijing 100029, China.
Muhammad DanialShenzhen Institute of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen 518055, China.
Taimur KhanState Key Laboratories of Chemical Resources Engineering, Beijing University of Chemical Technology, Beijing 100029, China.
Chaoqun LiangState Key Laboratories of Chemical Resources Engineering, Beijing University of Chemical Technology, Beijing 100029, China.
Xiuyuan DuanState Key Laboratories of Chemical Resources Engineering, Beijing University of Chemical Technology, Beijing 100029, China.
Daixi WangState Key Laboratories of Chemical Resources Engineering, Beijing University of Chemical Technology, Beijing 100029, China.
Hanzi GaoState Key Laboratories of Chemical Resources Engineering, Beijing University of Chemical Technology, Beijing 100029, China.
Guojun ZhengState Key Laboratories of Chemical Resources Engineering, Beijing University of Chemical Technology, Beijing 100029, China.
Beijing University of Chemical Technology · CNShenzhen Institutes of Advanced Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

biofilmsCambridgeMD simulationpharmacophore-based virtual screeningpqsA geneZINC

Identifiers

PMID36979940
PMCPMC10046026
OpenAlexW4328122713

What Socratic holds

Textfull text, public
LicenceCC BY
measurements read8
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 Socratic graph.