Evidence map›Paper›PMID 34125870›Full record

ArticlePloS one2021

In silico analysis of deleterious SNPs of human MTUS1 gene and their impacts on subsequent protein structure and function.

Liza Teresa Rozario, Tanima Sharker, Tasnin Akter Nila

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Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

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19citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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  5. Biochemistry and biophysics reports · 2025
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  6. Effects ofIranian journal of veterinary research · 2025
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  13. In silico prediction of deleterious non-synonymous SNPs inAsian biomedicine : research, reviews and news · 2023
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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Liza Teresa RozarioDepartment of Biochemistry and Molecular Biology, Noakhali Science and Technology University, Noakhali, Bangladesh.ORCID 0000-0001-9689-7032
Tanima SharkerDepartment of Biochemistry and Molecular Biology, Noakhali Science and Technology University, Noakhali, Bangladesh.
Tasnin Akter NilaDepartment of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mitochondrial tumor suppressor 1 (MTUS1) gene acts as a crucial tumor suppressor by inhibiting growth and proliferation of eukaryotic cells including tumor cell lines. Down regulation of MTUS1 gene has been implicated in a wide range of cancers as well as various human diseases. Alteration through nsSNPs can potentially damage the structure and/or function of the protein. As characterization of functional SNPs in such disease linked genes is a major challenge, it is feasible to analyze putative functional SNPs prior to performing larger population studies. Hence, in this in silico study we differentiated the potentially harmful nsSNPs of the MTUS1 gene from the neutral ones by using various sequence and structure based bioinformatic tools. In a total of 215 nsSNPs, 9 were found to be most likely to exert deleterious effect using 7 prediction tools. From which, 5nsSNPs (S1259L, E960K, P503T, L1084V and L1143Q) were selected as potentially damaging due to their presence in the highly conserved region and ability to decrease protein stability. In fact, 2 nsSNPs (S1259L and E960K) among these 5 were found to be individually associated with two distinctive cancers named Stomach adenocarcinoma and Uterine corpus endometrial carcinoma. As this is the first comprehensive study analyzing the functional nsSNPs of MTUS1, the results of the current study would certainly be helpful in future prospects concerning large population-based studies as well as drug discovery, especially developing individualized medicine.

Indexed as

Computer SimulationPolymorphism, Single NucleotideComputational BiologyHumansNeoplasmsProtein ConformationProtein StabilitySoftwareStructure-Activity RelationshipTumor Suppressor ProteinsMTUS1 protein, humanTumor Suppressor Proteins

Identifiers

PMID34125870
PMCPMC8202925

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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.