Predicting the functional and structural consequences of nsSNPs in human methionine synthase gene using computational...

Area of Science:

• Genetics and Molecular Biology
• Biochemistry
• Bioinformatics

Background:

• Methionine synthase (MTR) is crucial for the S-adenosyl methionine (SAM) cycle, regulating methylation processes and homocysteine levels.
• Dysregulation of MTR can impact DNA, RNA, protein, and neurotransmitter synthesis.
• Non-synonymous single nucleotide polymorphisms (nsSNPs) in the MTR gene may alter enzyme function and cellular processes.

Purpose of the Study:

• To computationally predict the functional and structural consequences of nsSNPs in the human MTR gene.
• To identify deleterious nsSNPs that affect methionine synthase activity and stability.
• To provide insights into the molecular mechanisms underlying MTR-associated variations.

Main Methods:

• Utilized multiple bioinformatics tools (SIFT, PolyPhen2, PROVEAN, etc.) to predict nsSNP effects.
• Predicted post-translational modification (PTM) sites, phylogenetic conservation, and protein 3D structure.
• Employed STRING analysis for protein-protein interaction prediction.

Main Results:

• Five nsSNPs (D621G, G682D, V744L, V766E, R1027W) were predicted as most deleterious.
• G682D, V744L, V776E, and R1027W were predicted to alter the protein's 3D structure.
• Specific nsSNPs were located within conserved domains and affected PTM sites.

Conclusions:

• Identified functionally and structurally significant nsSNPs in the human MTR gene.
• These nsSNPs, particularly D621G, G682D, V744L, V766E, and R1027W, warrant further experimental validation.
• The study provides valuable information for understanding MTR gene variations and their potential health implications.