Evidence map›Paper›PMID 36353729›Full record

ArticleFrontiers in molecular biosciences2022

Phenotype-based drug screening: An

Ankita Kumari, Xin-An Zeng, Abdul Rahaman, Muhammad Adil Farooq, Yanyan Huang, Mahafooj Alee, Runyu Yao, Murtaza Ali, Ibrahim Khalifa, Omnia Badr

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 57% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 3 countries.

Ankita KumariSchool of Food Science and Engineering, South China University of Technology, Guangzhou, China.
Xin-An ZengSchool of Food Science and Engineering, South China University of Technology, Guangzhou, China.
Abdul RahamanSchool of Food Science and Engineering, South China University of Technology, Guangzhou, China.
Muhammad Adil FarooqDepartment of Food Science and Technology, Khwaja Fareed University of Engineering and Information Technology, Rahimyar Khan, Punjab, Pakistan.
Yanyan HuangGuangdong Key Laboratory of Food Intelligent Manufacturing, Foshan University, Foshan, Guangdong, China.
Mahafooj AleeSchool of Food Science and Engineering, South China University of Technology, Guangzhou, China.
Runyu YaoSchool of Food Science and Engineering, South China University of Technology, Guangzhou, China.
Murtaza AliSchool of Food Science and Engineering, South China University of Technology, Guangzhou, China.
Ibrahim KhalifaDepartment of Food Science and Technology, Khwaja Fareed University of Engineering and Information Technology, Rahimyar Khan, Punjab, Pakistan.
Omnia BadrDepartment of Food Science and Technology, Khwaja Fareed University of Engineering and Information Technology, Rahimyar Khan, Punjab, Pakistan.
Foshan University · CNKhwaja Fareed University of Engineering and Information Technology · PKSouth China University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several disease-modulatory FDA-approved drugs are being used in patients with neurodegenerative diseases. However, information on their toxicity-related profiles is very limited. Therefore, measurement of drug toxicity is essential to increase the knowledge of their side effects. This study aimed to identify compounds that can modulate M-cell regeneration by causing neuro-protection and -toxicity. Here, we developed a simple and efficient

Indexed as

axonM-cellphenotype drug screening (PDS)regenerationzebrafish

Identifiers

PMID36353729
PMCPMC9637979
OpenAlexW4307134382

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.