Evidence map›Paper›PMID 28272408›Full record

ArticleScientific reports2017

Computational Modeling of complete HOXB13 protein for predicting the functional effect of SNPs and the associated role in hereditary prostate cancer.

Gopalakrishnan Chandrasekaran, Eu Chang Hwang, Taek Won Kang, Dong Deuk Kwon, Kwangsung Park, Je-Jung Lee, Vinoth-Kumar Lakshmanan

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

10 citing papers in PubMed, 43 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Gopalakrishnan ChandrasekaranDepartment of Biomedical Sciences, Chonnam National University Medical School, Gwangju, Republic of Korea.
Eu Chang HwangDepartment of Urology, Chonnam National University Hospital, Gwangju, Republic of Korea.
Taek Won KangDepartment of Urology, Chonnam National University Hospital, Gwangju, Republic of Korea.
Dong Deuk KwonDepartment of Urology, Chonnam National University Hospital, Gwangju, Republic of Korea.
Kwangsung ParkDepartment of Urology, Chonnam National University Hospital, Gwangju, Republic of Korea.
Je-Jung LeeResearch Center for Cancer Immunotherapy, Chonnam National University Hospital, Gwangju, Republic of Korea.
Vinoth-Kumar LakshmananDepartment of Biomedical Sciences, Chonnam National University Medical School, Gwangju, Republic of Korea.
Chonnam National University Hospital · KRChonnam National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human HOXB13 gene encodes a 284 amino acid transcription factor belonging to the homeobox gene family containing a homeobox and a HoxA13 N-terminal domain. It is highly linked to hereditary prostate cancer, the majority of which is manifested as a result of a Single Nucleotide Polymorphism (SNP). In silico analysis of 95 missense SNP's corresponding to the non-homeobox region of HOXB13 predicted 21 nsSNP's to be potentially deleterious. Among 123 UTR SNPs analysed by UTRScan, rs543028086, rs550968159, rs563065128 were found to affect the UNR_BS, GY-BOX and MBE UTR signals, respectively. Subsequent analysis by PolymiRTS revealed 23 UTR SNPs altering the miRNA binding site. The complete HOXB13_M26 protein structure was modelled using MODELLER v9.17. Computational analysis of the 21 nsSNP's mapped into the HOXB13_M26 protein revealed seven nsSNP's (rs761914407, rs8556, rs138213197, rs772962401, rs778843798, rs770620686 and rs587780165) seriously resulting in a damaging and deleterious effect on the protein. G84E, G135E, and A128V resulted in increased, while, R215C, C66R, Y80C and S122R resulted in decreased protein stability, ultimately predicted to result in the altered binding patterns of HOXB13. While the genotype-phenotype based effects of nsSNP's were assessed, the exact biological and biochemical mechanism driven by the above predicted SNPs still needs to be extensively evaluated by in vivo and GWAS studies.

Indexed as

Polymorphism, Single NucleotideAmino Acid SequenceComputer SimulationGenetic Predisposition to DiseaseGenotypeHomeodomain ProteinsHumansMaleModels, MolecularMutation, MissensePhenotypeProstatic NeoplasmsProtein DomainsProtein StabilityHomeodomain ProteinsHOXB13 protein, human

Identifiers

PMID28272408
PMCPMC5363706
OpenAlexW2593363109

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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.