Identification and structural characterization of deleterious non-synonymous single nucleotide polymorphisms in the

S M Zahid Hosen1, Raju Dash2, Md Junaid1

  • 1Molecular Modeling and Drug Design Laboratory, Pharmacology Research Division, Bangladesh Council of Scientific and Industrial Research, Chittagong, 4220, Bangladesh.

Insights

Computational analysis identified two specific non-synonymous single nucleotide polymorphisms (nsSNPs) in S-phase kinase 2 (SKP2) that disrupt protein structure and function, offering insights into cancer mechanisms and drug design.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Computational Biology

Background:

  • The SCF (Skp, Cullin, F-box) ubiquitin-protein ligase complex regulates protein degradation.
  • S-phase kinase 2 (SKP2) is a key F-box protein involved in cell cycle regulation and tumor suppression.
  • The impact of SKP2 non-synonymous single nucleotide polymorphisms (nsSNPs) on its function is largely uncharacterized.

Purpose of the Study:

  • To computationally investigate the structural and functional consequences of nsSNPs in SKP2.
  • To identify specific nsSNPs that may negatively impact SKP2 stability and function.
  • To provide a basis for further experimental validation and drug development targeting SKP2.

Main Methods:

  • Utilized multiple computational tools (SIFT, PolyPhen-2, PredictSNP, I-Mutant 2.0, ConSurf) to predict damaging nsSNPs.
  • Performed 3D model building and molecular dynamics simulations for selected mutations.
  • Analyzed the impact of mutations on protein stability, flexibility, and structural dynamics.

Main Results:

  • Identified 5 deleterious nsSNPs out of 172 analyzed.
  • Three nsSNPs were predicted to decrease protein stability.
  • P101L (rs761253702) and Y346C (rs755010517) were identified as highly conserved and functionally disruptive mutations.
  • Molecular dynamics simulations showed P101L and Y346C mutations increase protein flexibility and alter structural dynamics.

Conclusions:

  • The identified nsSNPs, particularly P101L and Y346C, significantly alter SKP2 protein structure and dynamics.
  • These mutations occur in functionally important regions of SKP2.
  • The findings support further wet-lab investigation of these nsSNPs and their role in cancer.
  • Computational insights can guide future population studies and structure-based drug design targeting SKP2.

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