Evidence map›Paper›PMID 28185116›Full record

ArticleJournal of molecular modeling2017

Potential acetylcholinesterase inhibitors: molecular docking, molecular dynamics, and in silico prediction.

Alessandra S Kiametis, Mônica A Silva, Luiz A S Romeiro, João B L Martins, Ricardo Gargano

Abstract read
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In one paragraph

Article in Journal of molecular modeling, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Deciphering the anthelmintic mechanisms ofIn silico pharmacology · 2025
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  6. Ameliorative potential of3 Biotech · 2021
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  7. Review
  8. Heliyon · 2021
    Article
  9. Article
  10. Article
  11. 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

5 authors.

Alessandra S KiametisInstitute of Biology, University of Brasilia, Brasilia, Brazil.
Mônica A SilvaInstitute of Physics, University of Brasilia, Brasilia, Brazil. abreu_monica@yahoo.com.br.
Luiz A S RomeiroDepartament of Tropical Medicine, University of Brasilia, Brasilia, Brazil.
João B L MartinsInstitute of Chemistry, University of Brasilia, Brasilia, Brazil.
Ricardo GarganoInstitute of Physics, University of Brasilia, Brasilia, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper deals with molecular modeling of new therapeutic agents for treating the Alzheimer's disease. The therapeutic line adopted for this study is the cholinergic hypothesis. To modulate positively the cholinergic function through the inhibition of the acetylcholinesterase, a set of candidates was designed from a natural compound extracted from the cashew nutshell liquid, anacardic acid. In silico screening of this chemical library revealed a ligand that is more promising once it is correlated with an active drug through specific topological and electronic descriptors. The protein-ligand docking showed stable binding modes and the binding free energy computed for the active site of the receptor suggests that our ligand presents a potential biological response. Graphical Abstract Representation of the three dimensional structure of the AChE, showing the important binding sites of the Gorge and the conformation of the ligand.

Indexed as

Molecular Docking SimulationMolecular Dynamics SimulationAcetylcholinesteraseAlzheimer DiseaseAnacardic AcidsAnacardiumCholinesterase InhibitorsDrug DesignHumansAcetylcholinesteraseanacardic acidAnacardic AcidsCholinesterase InhibitorsAChE inhibitors designIn silico predictionMolecular dockingMolecular dynamics

Identifiers

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.