ArticleScientific reports2018
Comprehensive in-silico prediction of damage associated SNPs in Human Prolidase gene.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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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.
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Who cites it
15 citing papers in PubMed, 32 citations in OpenAlex.
- Predictive Analysis and Validation of Critical Missense SNPs of theInternational journal of molecular sciences · 2025Review
- Identification and analysis of oncogenic non-synonymous single nucleotide polymorphisms in the human NRAS gene: An exclusive in silico study.Journal, genetic engineering & biotechnology · 2024Article
- Variations in Furin SNPs, a Major Concern of SARS-CoV-2 Susceptibility Among Different Populations: AnBioinformatics and biology insights · 2024Article
- Identification genetic variations in some heat shock protein genes of Tali goat breed and study their structural and functional effects on relevant proteins.Veterinary medicine and science · 2023Article
- An in silico analysis of rpoB mutations to affect Chlamydia trachomatis sensitivity to rifamycin.Journal, genetic engineering & biotechnology · 2022Article
- ADGRL3 genomic variation implicated in neurogenesis and ADHD links functional effects to the incretin polypeptide GIP.Scientific reports · 2022Article
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- Exploring the Structural and Functional Effects of Nonsynonymous SNPs in the Human Serotonin Transporter Gene ThroughBioinformatics and biology insights · 2022Article
- Evaluating the Effect of 3'-UTR Variants inCurrent issues in molecular biology · 2021Article
- Predicting the most deleterious missense nsSNPs of the protein isoforms of the human HLA-G gene and in silico evaluation of their structural and functional consequences.BMC genetics · 2020Article
- SNPeffect: identifying functional roles of SNPs using metabolic networks.The Plant journal : for cell and molecular biology · 2020Article
- Review
- Molecular Epidemiology ofInfection and drug resistance · 2020Article
- In silico approach to the analysis of SNPs in the human APAF1 gene.Turkish journal of biology = Turk biyoloji dergisi · 2019Article
- Extracting Complementary Insights from Molecular Phenotypes for Prioritization of Disease-Associated Mutations.Current opinion in systems biology · 2018Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Prolidase is cytosolic manganese dependent exopeptidase responsible for the catabolism of imido di and tripeptides. Prolidase levels have been associated with a number of diseases such as bipolar disorder, erectile dysfunction and varied cancers. Single nucleotide polymorphism present in coding region of proteins (nsSNPs) has the potential to alter the primary structure as well as function of the protein. Hence, it becomes necessary to differentiate the potential harmful nsSNPs from the neutral ones. 19 nsSNPs were predicted as damaging by in-silico analysis of 298 nsSNPs retrieved from dbSNP database. Consurf analysis showed 18 out of 19 substitutions were present in the conserved regions. 4 substitutions (D276N, D287N, E412K, and G448R) that observed to have damaging effect are present in catalytic pocket. Four SNPs listed in splice site region were found to affect splicing of mRNA by altering acceptor site. On 3'UTR scan of 77 SNPs listed in SNP database, 9 SNPs were lead to alter miRNA target sites. These results provide a filtered data to explore the effect of uncharacterized nsSNP and SNP related to UTRs and splice site of prolidase to find their association with the disease susceptibility and to design the target dependent drugs for therapeutics.
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Registered trials
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.