Evidence map›Paper›PMID 32681311›Full record

ArticleCurrent microbiology2020

Putative Drug Target Identification in Tinea Causing Pathogen Trichophyton rubrum Using Subtractive Proteomics Approach.

Mohamed Hussain Syed Abuthakir, Thomas Jebastin, Velusamy Sharmila, Muthusamy Jeyam

Abstract read
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Article in Current microbiology, 2020. 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
0.8field-weighted citation impact, top 28% 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, 7 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Mohamed Hussain Syed AbuthakirBiochematics Laboratory, Department of Bioinformatics, Bharathiar University, Coimbatore, Tamil Nadu, 641 046, India.
Thomas JebastinDepartment of Bioinformatics, Bishop Heber College, Tiruchchirappalli, Tamil Nadu, India.
Velusamy SharmilaBiochematics Laboratory, Department of Bioinformatics, Bharathiar University, Coimbatore, Tamil Nadu, 641 046, India.
Muthusamy JeyamBiochematics Laboratory, Department of Bioinformatics, Bharathiar University, Coimbatore, Tamil Nadu, 641 046, India. jeyam@buc.edu.in.
Bharathiar University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trichophyton, important among the three keratinophylic fungi grouped as dermatophytes, is known to cause superficial infections in skin, nail and hair of all the living organisms. The side effects produced by the drugs currently administered to counter these infections have necessitated the search for novel targets. The present study focused on finding putative drug targets in Trichophyton rubrum using the subtractive proteomics approach where its whole proteome was analyzed to find proteins non-homologous to humans inclusive of their gut flora and human protein domain but essential to T. rubrum, to identify sub-cellular localization, functional classification of uncharacterized proteins and to analyze the protein network, druggability and pathway of the targets. The study's strength relies on its addition of important steps namely, non-homology of the pathogen domain to human domain, non-homology to gut microbiota and substantiation of the importance of the targets in networking by node deletion to the existing methods in drug discovery for dermatophytoses. The study has resulted in the identification of two novel drug targets from the whole proteome of T. rubrum that are not present in human and human gut microbiota.

Indexed as

Pharmaceutical PreparationsTineaArthrodermataceaeHumansProteomicsTrichophytonPharmaceutical Preparations

Identifiers

PMID32681311
OpenAlexW3043114388

What OpenQuestion holds

Textmetadata
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.