Evidence map›Paper›PMID 30044400›Full record

ArticleMolecules (Basel, Switzerland)2018

Identification of Natural Compounds against Neurodegenerative Diseases Using In Silico Techniques.

Larisa Ivanova, Mati Karelson, Dimitar A Dobchev

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 21 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

3 authors at 1 institution in 1 country.

Larisa IvanovaInstitute of Chemistry, University of Tartu, Ravila 14a, 50411 Tartu, Estonia. larisa.ivanova@ut.ee.
Mati KarelsonInstitute of Chemistry, University of Tartu, Ravila 14a, 50411 Tartu, Estonia. mati.karelson@ut.ee.
Dimitar A DobchevInstitute of Chemistry, University of Tartu, Ravila 14a, 50411 Tartu, Estonia. dimitar.dobchev@ut.ee.
University of Tartu · EE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to identify new potentially active compounds for three protein targets, tropomyosin receptor kinase A (TrkA),

Indexed as

Computer SimulationBinding SitesBiological ProductsDatabases, ChemicalDrug DesignHumansLeucine-Rich Repeat Serine-Threonine Protein Kinase-2Models, MolecularNeural Networks, ComputerNeurodegenerative DiseasesProtein BindingProtein ConformationProtein Kinase InhibitorsQuantitative Structure-Activity RelationshipReceptors, N-Methyl-D-AspartateReceptor, trkABiological ProductsLeucine-Rich Repeat Serine-Threonine Protein Kinase-2Protein Kinase InhibitorsReceptors, N-Methyl-D-AspartateReceptor, trkAartificial neural networksCADDLRRK2molecular dockingmolecular dynamicsnatural compoundsNMDATrkA

Identifiers

PMID30044400
PMCPMC6222649
OpenAlexW2884334606

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.