Evidence map›Paper›PMID 35944036›Full record

ArticlePloS one2022

A comprehensive in silico analysis of the deleterious nonsynonymous SNPs of human FOXP2 protein.

Mahmuda Akter, Sumaiya Farah Khan, Abu Ashfaqur Sajib, Fahmida Sultana Rima

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Genetic variability ofHeliyon · 2024
    Article
  3. 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

4 authors at 3 institutions in 1 country.

Mahmuda AkterDepartment of Genetic Engineering and Biotechnology, Jagannath University, Dhaka, Bangladesh.
Sumaiya Farah KhanDepartment of Genetic Engineering and Biotechnology, Jagannath University, Dhaka, Bangladesh.
Abu Ashfaqur SajibDepartment of Genetic Engineering and Biotechnology, University of Dhaka, Dhaka, Bangladesh.ORCID 0000-0003-1710-9865
Fahmida Sultana RimaDepartment of Biochemistry and Biotechnology, University of Barishal, Barishal, Bangladesh.ORCID 0000-0001-8631-9060
Jagannath University · BDUniversity of Barishal · BDUniversity of Dhaka · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

FOXP2 encodes the forkhead transcription factor that plays a significant role in language development. Single nucleotide polymorphisms in FOXP2 have been linked to speech- language disorder, autism, cancer and schizophrenia. So, scrutinizing the functional SNPs to better understand their association in disease is an uphill task. The purpose of the current study was to identify the missense SNPs which have detrimental structural and functional effects on the FOXP2 protein. Multiple computational tools were employed to investigate the deleterious role of non-synonymous SNPs. Five variants as Y531H, L558P, R536G and R553C were found to be associated with diseases and located at the forkhead domain of the FOXP2 protein. Molecular docking analysis of FOXP2 DNA binding domain with its most common target sequence 5'-CAAATT-3' predicted that R553C and L558P mutant variants destabilize protein structure by changing protein-DNA interface interactions and disruption of hydrogen bonds that may reduce the specificity and affinity of the binding. Further experimental investigations may need to verify whether this kind of structural and functional variations dysregulate protein activities and induce formation of disease.

Indexed as

Forkhead Transcription FactorsPolymorphism, Single NucleotideDNAHumansMolecular Docking SimulationProtein DomainsDNAForkhead Transcription FactorsFOXP2 protein, human

Identifiers

PMID35944036
PMCPMC9362936
OpenAlexW4290779615

What Socratic 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 Socratic graph.