Evidence map›Paper›PMID 32671125›Full record

ArticleIranian journal of biotechnology2019

The In Silico Characterization of a Salicylic Acid Analogue Coding Gene Clusters in Selected

Muhammad Shehroz, Muneeba Aslam, Munazza Ali Khan, Sara Aiman, Sahib Gul Afridi, Asifullah Khan

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Iranian journal of biotechnology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
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

6 authors at 1 institution in 1 country.

Muhammad ShehrozDepartment of Biochemistry, Abdul Wali Khan University Mardan, Khyber Pakhtunkhwa, Pakistan.
Muneeba AslamDepartment of Biochemistry, Abdul Wali Khan University Mardan, Khyber Pakhtunkhwa, Pakistan.
Munazza Ali KhanDepartment of Biochemistry, Abdul Wali Khan University Mardan, Khyber Pakhtunkhwa, Pakistan.
Sara AimanDepartment of Biochemistry, Abdul Wali Khan University Mardan, Khyber Pakhtunkhwa, Pakistan.
Sahib Gul AfridiDepartment of Biochemistry, Abdul Wali Khan University Mardan, Pakistan.
Asifullah KhanDepartment of Biochemistry, Abdul Wali Khan University Mardan, Pakistan.
Abdul Wali Khan University Mardan · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe microbial genome sequences provide solid in silico framework for interpretation of their drug-like chemical scaffolds biosynthetic potentials.

objectivesThe key objective of the present study was to mine the publically available data of MATERIALS AND

methodsWe implemented the computational biology resources of AntiSMASH and BAGEL3 for the secondary metabolites prediction from

resultsThe analyses unveiled a wide array of chemical scaffolds biosynthesis in different

conclusionThe computational biology and drug discovery analyses identified different gene clusters in

Indexed as

Bacterial genomesBiosynthetic gene clustersP. fluorescensSalicylic acidSecondary metabolites

Identifiers

PMID32671125
PMCPMC7357695
OpenAlexW2957463872

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.