Computational and structural analysis of deleterious functional SNPs in ARNT oncogene

Investigating the Inhibitory Effect of Wortmannin in the Hotspot Mutation at Codon 1047 of PIK3CA Kinase Domain: A Molecular Docking and Molecular Dynamics Approach

Oncogenic mutations in phosphatidylinositol-4,5-bisphosphate 3-kinase, catalytic subunit alpha (PIK3CA) are the most frequently reported in association with various forms of cancer. Several studies have reported the significance of hotspot mutations in a catalytic subunit of PIK3CA in association with breast cancer. Mutations are frequently observed in the highly conserved region of the kinase domain (797-1068 amino acids) of PIK3CA are activating or gain-of-function mutations. Mutation in codon 1047 occurs in the C-terminal region of the kinase domain with histidine (H) replaced by arginine (R), lysine (L), and tyrosine (Y). Pathogenicity and protein stability predictors PhD-SNP, Align GVGD, HANSA, iStable, and MUpro classified H1047R as highly deleterious when compared to H1047L and H1047Y. To explore the inhibitory activity of Wortmannin toward PIK3CA, the three-dimensional structure of the mutant protein was determined using homology modeling followed by molecular docking and molecular dynamics analysis. Docking studies were performed for the three mutants and native with Wortmannin to measure the differences in their binding pattern. Comparative docking study revealed that H1047R-Wortmannin complex has a higher number of hydrogen bonds as well as the best binding affinity next to the native protein. Furthermore, 100 ns molecular dynamics simulation was initiated with the docked complexes to understand the various changes induced by the mutation. Though Wortmannin was found to nullify the effect of H1047R over the protein, further studies are required for designing a better compound. As SNPs are major genetic variations observed in disease condition, personalized medicine would provide enhanced drug therapy.

Computational refinement of functional single nucleotide polymorphisms associated with ATM gene

BACKGROUND

Understanding and predicting molecular basis of disease is one of the major challenges in modern biology and medicine. SNPs associated with complex disorders can create, destroy, or modify protein coding sites. Single amino acid substitutions in the ATM gene are the most common forms of genetic variations that account for various forms of cancer. However, the extent to which SNPs interferes with the gene regulation and affects cancer susceptibility remains largely unknown.

PRINCIPAL FINDINGS

We analyzed the deleterious nsSNPs associated with ATM gene based on different computational methods. An integrative scoring system and sequence conservation of amino acid residues was adapted for a priori nsSNP analysis of variants associated with cancer. We further extended our approach on SNPs that could potentially influence protein Post Translational Modifications in ATM gene.

SIGNIFICANCE

In the lack of adequate prior reports on the possible deleterious effects of nsSNPs, we have systematically analyzed and characterized the functional variants in both coding and non coding region that can alter the expression and function of ATM gene. In silico characterization of nsSNPs affecting ATM gene function can aid in better understanding of genetic differences in disease susceptibility.

Single nucleotide polymorphisms in the human aryl hydrocarbon receptor nuclear translocator (ARNT) gene

Species' variation(s) in gene homologues can result in differences among species in their quantitative and qualitative susceptibility and responsiveness to environmental contaminants. In the case of dioxin-like compounds (DLCs), it has been hypothesized that single nucleotide polymorphisms (SNPs) in genes associated with aryl hydrocarbon receptor (AHR)-regulated pathways may result in greater susceptibility to DLC toxicity. A key step in the activation of AHR involves heterodimerization with the AHR nuclear translocator (ARNT) protein before binding to its DNA response element. The objective of this study was to identify SNPs in the human ARNT gene that could potentially affect the sensitivity of AHR-dependent gene transcription. Results from DNA sequencing of 101 human samples demonstrated the presence of five unique SNPs at the ARNT locus, including three non-synonymous SNPs, of which two were novel: V304M and T462A. The genetic frequencies of the non-synonymous SNPs were very low (≤0.02), and the novel SNPs occurred in the Per-ARNT-Sim (PAS) functional domain. In silico analysis indicated that V304M was the only SNP identified in the current population with the potential to significantly alter ARNT protein function. Our findings indicated a very limited occurrence of SNPs with predicted functional consequence in key domains of human ARNT.