Evidence map›Paper›PMID 35456478›Full record

ArticleGenes2022

In Silico Analysis Identified Putative Pathogenic Missense nsSNPs in Human

Muhammad Zeeshan Ali, Arshad Farid, Safeer Ahmad, Muhammad Muzammal, Mohammed Al Mohaini, Abdulkhaliq J Alsalman, Maitham A Al Hawaj, Yousef N Alhashem, Abdulmonem A Alsaleh, Eman M Almusalami and 2 more

Open access · goldAbstract read
In one paragraph

Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. 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

12 authors at 5 institutions in 4 countries.

Muhammad Zeeshan AliGomal Center of Biochemistry and Biotechnology, Gomal University, Dera Ismail Khan 29111, Pakistan.
Arshad FaridGomal Center of Biochemistry and Biotechnology, Gomal University, Dera Ismail Khan 29111, Pakistan.ORCID 0000-0001-5147-5936
Safeer AhmadGomal Center of Biochemistry and Biotechnology, Gomal University, Dera Ismail Khan 29111, Pakistan.
Muhammad MuzammalGomal Center of Biochemistry and Biotechnology, Gomal University, Dera Ismail Khan 29111, Pakistan.
Mohammed Al MohainiBasic Sciences Department, College of Applied Medical Sciences, King Saud Bin Abdulaziz University for Health Sciences, Al Ahsa 31982, Saudi Arabia.ORCID 0000-0002-0185-4484
Abdulkhaliq J AlsalmanDepartment of Clinical Pharmacy, Faculty of Pharmacy, Northern Border University, Rafha 91911, Saudi Arabia.
Maitham A Al HawajDepartment of Pharmacy Practice, College of Clinical Pharmacy, King Faisal University, Al Ahsa 31982, Saudi Arabia.ORCID 0000-0003-2026-0451
Yousef N AlhashemClinical Laboratory Sciences Department, Mohammed Al-Mana College for Medical Sciences, Dammam 34222, Saudi Arabia.ORCID 0000-0003-4435-3003
Abdulmonem A AlsalehClinical Laboratory Sciences Department, Mohammed Al-Mana College for Medical Sciences, Dammam 34222, Saudi Arabia.
Eman M AlmusalamiKing's College London, Strand, London WC2R 2LS, UK.
Mahpara MaryamDepartment of Zoology, Government College No.1, Dera Ismail Khan 29111, Pakistan.
Muzammil Ahmad KhanGomal Center of Biochemistry and Biotechnology, Gomal University, Dera Ismail Khan 29111, Pakistan.ORCID 0000-0001-8591-0377
Gomal University · PKKing Faisal University · SAKing Saud bin Abdulaziz University for Health Sciences · SAKing's College London · GBNorthern Border University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human DNA contains several variations, which can affect the structure and normal functioning of a protein. These variations could be single nucleotide polymorphisms (SNPs) or insertion-deletions (InDels). SNPs, as opposed to InDels, are more commonly present in DNA and may cause genetic disorders. In the current study, several bioinformatic tools were used to prioritize the pathogenic variants in the SLITRK1 gene. Out of all of the variants, 16 were commonly predicted to be pathogenic by these tools. All the variants had very low frequency, i.e., <0.0001 in the global population. The secondary structure of all filtered variants was predicted, but no structural change was observed at the site of variation in any variant. Protein stability analysis of these variants was then performed, which determined a decrease in protein stability of 10 of the variants. Amino acid conservation analysis revealed that all the amino acids were highly conserved, indicating their structural and functional importance. Protein 3D structure of wildtype SLITRK1 and all of its variants was predicted using I-TASSER, and the effect of variation on 3D structure of the protein was observed using the Missense3D tool, which presented the probable structural loss in three variants, i.e., Asn529Lys, Leu496Pro and Leu94Phe. The wildtype SLITRK1 protein and these three variants were independently docked with their close interactor protein PTPRD, and remarkable differences were observed in the docking sites of normal and variants, which will ultimately affect the functional activity of the SLITRK1 protein. Previous studies have shown that mutations in SLITRK1 are involved in Tourette syndrome. The present study may assist a molecular geneticist in interpreting the variant pathogenicity in research as well as diagnostic setup.

Indexed as

Polymorphism, Single NucleotideTourette SyndromeComputational BiologyHumansMembrane ProteinsMutationNerve Tissue ProteinsProtein StabilityMembrane ProteinsNerve Tissue ProteinsSLITRK1 protein, humanbioinformatical toolsdockingpathogenicSLITRK1

Identifiers

PMID35456478
PMCPMC9030497
OpenAlexW4223520408

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.