Evidence map›Paper›PMID 31031465›Full record

ArticleIndian journal of pharmacology

Homology modeling identified for purported drug targets to the neuroprotective effects of levodopa and asiaticoside-D in degenerated cerebral ganglions of

Mamangam Subaraja, A Kulandaisamy, N R Siva Shanmugam, Arambakkam Janardhanam Vanisree

Abstract read
In one paragraph

Article in Indian journal of pharmacology. 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
0.3field-weighted citation impact, top 37% 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. Preparation and Safety Evaluation ofEvidence-based complementary and alternative medicine : eCAM · 2022
    Article
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 2 institutions in 1 country.

Mamangam SubarajaDepartment of Biochemistry, Guindy Campus, University of Madras, Chennai, Tamil Nadu, India.
A KulandaisamyDepartment of Biotechnology, Indian Institute of Technology, Chennai, Tamil Nadu, India.
N R Siva ShanmugamDepartment of Biotechnology, Indian Institute of Technology, Chennai, Tamil Nadu, India.
Arambakkam Janardhanam VanisreeDepartment of Biochemistry, Guindy Campus, University of Madras, Chennai, Tamil Nadu, India.
Indian Institute of Technology Madras · INUniversity of Madras · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextHomology modeling plays role in determining the therapeutic targets dreadful for condition such as neurodegenerative diseases (NDD), which pose challenge in achieving the effective managements. The structures of the serotonin transporter (

aimThis study aims to generate and evaluate the 3D structure of SUBJECTS AND

methodsHomology modeling for SERT, AQP, and TrkA proteins of

resultsIt was found that TrkA had moderately high homology (67%) to human while SERT and AQP could exhibit 58% and 42%, respectively. The reliability of the model was assessed by Ramachandran plot analysis. Interactions of AD with the

conclusionOur pioneering docking data propose the possible of target which is proved useful for therapeutic investigations against the unconquered better of NDD.

Indexed as

Models, MolecularAnimalsAquaporinsGanglia, InvertebrateLevodopaNeuroprotective AgentsOligochaetaReceptor, trkASerotonin Plasma Membrane Transport ProteinsTriterpenesAquaporinsasiaticosideLevodopaNeuroprotective AgentsReceptor, trkASerotonin Plasma Membrane Transport ProteinsTriterpenesAsiaticoside-Ddegenerative cerebral ganglionshomology modelingLumbricus terrestrism-RNAs

Identifiers

PMID31031465
PMCPMC6444839
OpenAlexW2924080164

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.