ArticleBioinformation2022
Molecular docking analysis of GC-MS analyzed bioactive compounds from the rhizome of Hedychium rubrum with four protein targets.
Article in Bioinformation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hedychium rubrum, a traditional medicinal plant of Manipur belonging to the family Zingeberaceae was screened for its biological activity. The methanolic extract of its rhizome was prepared by Soxhlet extraction method and was further subjected to GC-MS to know its bioactive compounds. The in vitro antimicrobial activity assay was tested against five bacteria causing UTI. Klebseilla pneumoniae showed most sensitive followed by Pseudomonas aeruginosa, Escherichia coli, Staphylococcus aureus and Enterococcus faecalis in the order. Plant extract showed higher inhibition zone than the positive control used. According to the higher quality of compounds from the GCMS results nine compounds were selected for further in silico studies using GOLD software against four protein targets. The phytoconstituents present in the methanolic extract have the ability to bind at the receptor site of all four targeted proteins. ADMET and TOPKAT studies were also carried out.
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.