Bioinformatics tool in Identification of the Structural and Functional Impact Of ACE Isoform 1 precursor gene

Area of Science:

• Genetics and Bioinformatics
• Molecular Biology
• Nephrology

Background:

• Genetic variations, particularly single nucleotide polymorphisms (SNPs), significantly influence human phenotype and disease susceptibility.
• Diabetic nephropathy, a microvascular complication of diabetes mellitus, often necessitates renal replacement therapy as it progresses.
• The Angiotensin Converting Enzyme (ACE) gene, a key component of the Renin-angiotensin system, plays a crucial role in blood pressure regulation and renal hemodynamics.

Purpose of the Study:

• To identify functional SNPs within the ACE isoform 1 precursor gene using bioinformatics tools.
• To analyze the specific ACE rs267604983 gene variant using SIFT and PROVEAN.
• To perform HOPE modeling for further characterization of the identified SNPs.

Main Methods:

• SIFT (Sorting Intolerant From Tolerant) and PROVEAN (Protein Variation Effect Analyzer) bioinformatics tools were employed.
• These tools were used to screen and identify functional single nucleotide polymorphisms (SNPs) in the ACE isoform precursor 1 gene.

Main Results:

• Analysis of the ACE precursor gene identified 9,680 SNPs, with 100% coding variations predicted by SIFT.
• SIFT analysis indicated 30% of variations were deleterious and 94% were non-synonymous.
• PROVEAN analysis classified 25% of variants as harmful and 65% as tolerable.

Conclusions:

• In silico analysis, combined with experimental research, can provide novel insights into the complexities of diabetic nephropathy.
• Functional SNP predictions from bioinformatics tools may facilitate the development of personalized medicine and targeted therapies for individuals at risk of diabetic nephropathy.