Evidence map›Paper›PMID 34445667›Full record

ReviewInternational journal of molecular sciences2021

Drug Discovery of Spinal Muscular Atrophy (SMA) from the Computational Perspective: A Comprehensive Review.

Li Chuin Chong, Gayatri Gandhi, Jian Ming Lee, Wendy Wai Yeng Yeo, Sy-Bing Choi

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. [Spinal muscular atrophy: Clinical and genetic aspects, and therapeutic alternatives].Revista medica del Instituto Mexicano del Seguro Social · 2026
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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

5 authors at 1 institution in 1 country.

Li Chuin ChongCentre for Bioinformatics, School of Data Sciences, Perdana University, Suite 9.2, 9th Floor, Wisma Chase Perdana, Changkat Semantan, Kuala Lumpur 50490, Malaysia.ORCID 0000-0002-3574-1365
Gayatri GandhiPerdana University Graduate School of Medicine, Perdana University, Suite 9.2, 9th Floor, Wisma Chase Perdana, Changkat Semantan, Kuala Lumpur 50490, Malaysia.ORCID 0000-0003-4102-8440
Jian Ming LeeCentre for Bioinformatics, School of Data Sciences, Perdana University, Suite 9.2, 9th Floor, Wisma Chase Perdana, Changkat Semantan, Kuala Lumpur 50490, Malaysia.
Wendy Wai Yeng YeoPerdana University Graduate School of Medicine, Perdana University, Suite 9.2, 9th Floor, Wisma Chase Perdana, Changkat Semantan, Kuala Lumpur 50490, Malaysia.ORCID 0000-0001-5028-9293
Sy-Bing ChoiCentre for Bioinformatics, School of Data Sciences, Perdana University, Suite 9.2, 9th Floor, Wisma Chase Perdana, Changkat Semantan, Kuala Lumpur 50490, Malaysia.
Perdana University · MY

Funding

Adnuri SMA Research Center (M) Sdn. Bhd. 41003045Fundamental Research Grant Scheme (FRGS) FRGS/1/2018/SKK08/PERDANA/03/1
6 · The paper itself

Abstract

Spinal muscular atrophy (SMA), one of the leading inherited causes of child mortality, is a rare neuromuscular disease arising from loss-of-function mutations of the survival motor neuron 1 (

Indexed as

AnimalsComputational BiologyDisease Models, AnimalDrug DiscoveryDrug RepositioningHumansMotor NeuronsMuscular Atrophy, SpinalSurvival of Motor Neuron 1 ProteinSMN1 protein, humanSurvival of Motor Neuron 1 Proteinartificial intelligencecomputational aided drug discoverydrug discoverydrug therapyin silico drug repurposingneuromuscular disorderSMAspinal muscular atrophy

Identifiers

PMID34445667
PMCPMC8396480
OpenAlexW3193630575

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.