Comprehensive Characterization of the Coding and Non-Coding Single Nucleotide Polymorphisms in the Tumor Protein p63 (TP63) Gene Using In Silico Tools.

Shamima Akter, Shafaat Hossain, Md Ackas Ali, Md Ismail Hosen, Hossain Uddin Shekhar

Open access · goldAbstract read

In one paragraph

Article in Biomolecules, 2021. 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

0.5field-weighted citation impact, top 30% 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, 4 citations in OpenAlex.

An In silico Approach towards Finding the Cancer-Causing Mutations in Human MET Gene.International journal of genomics · 2023
Article
Pathogenic nsSNPs that increase the risks of cancers among the Orang Asli and Malays.Scientific reports · 2021
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 at 3 institutions in 2 countries.

Shamima AkterDepartment of Bioinformatics and Computational Biology, George Mason University, Fairfax, VA 22030, USA.ORCID 0000-0001-9119-5197

Shafaat HossainClinical Biochemistry and Translational Medicine Laboratory, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka 1000, Bangladesh.

Md Ackas AliDivision of Computer Aided Drug-Design, The Red-Green Research Center, 16, Tejkunipara, Tejgaon, Dhaka 1215, Bangladesh.ORCID 0000-0002-8235-3517

Md Ismail HosenClinical Biochemistry and Translational Medicine Laboratory, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka 1000, Bangladesh.ORCID 0000-0003-0862-7206

Hossain Uddin ShekharClinical Biochemistry and Translational Medicine Laboratory, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka 1000, Bangladesh.ORCID 0000-0002-8960-0840

University of Dhaka · BDGeorge Mason University · USGreen University of Bangladesh · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single nucleotide polymorphisms (SNPs) help to understand the phenotypic variations in humans. Genome-wide association studies (GWAS) have identified SNPs located in the tumor protein 63 (TP63) locus to be associated with the genetic susceptibility of cancers. However, there is a lack of in-depth characterization of the structural and functional impacts of the SNPs located at the

Indexed as

Molecular Dynamics SimulationPolymorphism, Single NucleotideTranscription FactorsTumor Suppressor ProteinsComputational BiologyComputer SimulationHumansMolecular Docking SimulationProtein BindingProtein StabilityTP63 protein, humanTranscription FactorsTumor Suppressor Proteinsbioinformaticscomputational biologydbSNPI-Mutant 2.0MD simulationsmolecular dockingnon-coding SNPsnsSNPspathogenic predictionTP63

Identifiers

PMID34827731

DOI10.3390/biom11111733

PMCPMC8637305

OpenAlexW3134516016

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.