Evidence map›Paper›PMID 26527851›Full record

ArticleBioinformation2015

Molecular docking studies of phytochemicals from Phyllanthus niruri against Hepatitis B DNA Polymerase.

Mekha Mohan, Priyanka James, Ravisankar Valsalan, Puthiyaveetil Abdulla Nazeem

Open access · hybridAbstract read
In one paragraph

Article in Bioinformation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.6field-weighted citation impact, top 8% 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

9 citing papers in PubMed, 37 citations in OpenAlex.

  1. Trial
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  4. An insight into the potent medicinal plantThe Nucleus : an international journal of cytology and allied topics · 2022
    Review
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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.

Mekha MohanBioinformatics Centre (DIC), Kerala Agricultural University, India.
Priyanka JamesBioinformatics Centre (DIC), Kerala Agricultural University, India.
Ravisankar ValsalanBioinformatics Centre (DIC), Kerala Agricultural University, KAU P.O, Vellanikkara, Kerala, India -680656.
Puthiyaveetil Abdulla NazeemBioinformatics Centre (DIC), Kerala Agricultural University, India.
Kerala Agricultural University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatitis B virus (HBV) infection is the leading cause for liver disorders and can lead to hepatocellular carcinoma, cirrhosis and liver damage which in turn can cause death of patients. HBV DNA Polymerase is essential for HBV replication in the host and hence is used as one of the most potent pharmacological target for the inhibition of HBV. Chronic hepatitis B is currently treated with nucleotide analogues that suppress viral reverse transcriptase activity and most of them are reported to have viral resistance. Therefore, it is of interest to model HBV DNA polymerase to dock known phytochemicals. The present study focuses on homology modeling and molecular docking analysis of phytocompounds from the traditional antidote Phyllanthus niruri and other nucleoside analogues against HBV DNA Polymerase using the software Discovery studio 4.0. 3D structure of HBV DNA Polymerase was predicted based on previously reported alignment. Docking studies revealed that a few phytochemicals from Phyllanthus niruri had good interactions with HBV DNA Polymerase. These compounds had acceptable binding properties for further in vitro validation. Thus the study puts forth experimental validation for traditional antidote and these phytocompounds could be further promoted as potential lead molecule.

Indexed as

Hepatitis BHomology modelingMolecular DockingPhyllanthus niruriPhytochemicals

Identifiers

PMID26527851
PMCPMC4620619
OpenAlexW2394713947

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.