Evidence map›Paper›PMID 32533371›Full record

ArticleJournal of computer-aided molecular design2020

Plausible compounds drawn from plants as curative agents for neurodegeneration: An in-silico approach.

Shalini Thiruchittampalam, Samantha Weerasinghe

Abstract read
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In one paragraph

Article in Journal of computer-aided molecular design, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 96% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 1 institution in 1 country.

Shalini ThiruchittampalamDepartment of Chemistry, University of Colombo, Colombo, 00300, Sri Lanka.
Samantha WeerasingheDepartment of Chemistry, University of Colombo, Colombo, 00300, Sri Lanka. weera@chem.cmb.ac.lk.ORCID 0000-0003-4807-5784
University of Colombo · LK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Classification of chemical compounds of plants as a source of medicaments for neurodegenerative diseases through computer screening is an efficient process in drug discovery, in advance of laboratory testing and clinical trials. The onset of neurodegenerative disorders incarcerates both sufferers and their families mentally and financially. This investigation emphasises the search for potent compounds via a computational approach, as an initial path towards the treatment of the neurodegenerative diseases Alzheimer's (AD), Parkinson's (PD), prion, and Huntington's (HD) diseases. The therapeutic strategy considered here is chelation therapy, emanated from the heightened levels of metal ions, which play an imperative role in the pathogenesis of all four neurodegenerative disorders mentioned. Hence, potent compounds from Sri Lankan plants to function as lead compounds have been identified for Cu(II), Fe(III), Zn(II), and Al(III) ions, from a library of around 200 chemical compounds, using an umbrella sampling molecular dynamics computational approach where the chelating ability of compounds for the metal ion is assessed in terms of binding free energy. Calculations reveal that 12 Sri Lankan plants possess compounds that could be considered as starting points of leads for AD, PD and prion disease. However, no compound was potentially useful for the HD category, according to the study. Potential of mean force of Al

Indexed as

Computer SimulationChelating AgentsChelation TherapyHumansMetalsNeurodegenerative DiseasesPlant ExtractsPlantsChelating AgentsMetalsPlant ExtractsChelation therapyFree energyMetal ionsNeurodegenerationUmbrella sampling

Identifiers

PMID32533371
OpenAlexW3035010523

What OpenQuestion holds

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Registered trials

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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.