ArticleCurrent microbiology2020
Putative Drug Target Identification in Tinea Causing Pathogen Trichophyton rubrum Using Subtractive Proteomics Approach.
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.
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.
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.
Who cites it
3 citing papers in PubMed, 7 citations in OpenAlex.
- Article
- Finding potential inhibitors for Main protease (Mpro) of SARS-CoV-2 through virtual screening and MD simulation studies.Saudi journal of biological sciences · 2023Article
- Subtractive genomics and molecular docking approach to identify drug targets against Stenotrophomonas maltophilia.PloS one · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What OpenQuestion holds
Registered trials
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.