Bioinformatics-driven identification of pathogenic missense nsSNPs in the human proto-oncogene SRC and cancer

Md Shakil Ahamed1, Roksana Khanam1, K M Tanjida Islam1

  • 1Department of Biotechnology and Genetic Engineering, Mawlana Bhashani Science and Technology University, Santosh, Tangail-1902, Bangladesh.

Insights

Genetic variations in the SRC proto-oncogene can drive cancer. This study identifies specific SRC mutations, like W151C, Y419N, and P465S, that impact protein function and may serve as cancer biomarkers.

Area of Science:

  • Oncology
  • Molecular Biology
  • Bioinformatics

Background:

  • SRC is a proto-oncogene critical for cell growth and survival.
  • SRC dysregulation is a known driver in various cancers.
  • The functional impact of SRC genetic variants, especially nsSNPs, remains unclear.

Purpose of the Study:

  • To computationally identify and analyze the functional and structural consequences of nsSNPs in the SRC gene.
  • To investigate the effect of identified SRC mutations on protein stability, protein-protein interactions, and drug binding.
  • To explore the association of mutated SRC with cancer-related gene expression patterns.

Main Methods:

  • Integrative computational analysis of 512 missense nsSNPs in SRC.
  • Prediction of deleterious nsSNPs and their impact on protein structure stability.
  • Molecular dynamics simulations to assess protein stability and conformational changes.
  • Protein-protein docking studies to evaluate SRC-FAK complex disruption and dasatinib binding.
  • Gene expression analysis to link mutated SRC to cancer-related genes.

Main Results:

  • 42 out of 512 nsSNPs were predicted as deleterious, with 12 destabilizing protein structure.
  • Three key mutations (W151C, Y419N, P465S) caused significant physicochemical changes and reduced protein stability.
  • Mutations disrupted SRC-FAK binding and reduced dasatinib affinity.
  • Mutated SRC correlated with dysregulated cancer genes, particularly in multiple myeloma and uterine cancer.

Conclusions:

  • Identified SRC nsSNPs possess oncogenic potential, altering protein function and interactions.
  • These mutations may serve as diagnostic biomarkers and therapeutic targets for personalized cancer treatment.
  • Further population studies are warranted to validate the role of SRC mutations in cancer progression and drug response.

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