Sam-Sam Association Between EphA2 and SASH1: In Silico Studies of Cancer-Linked Mutations

Marian Vincenzi1, Flavia Anna Mercurio1, Ida Autiero1

  • 1Institute of Biostructures and Bioimaging, National Research Council of Italy, Via Pietro Castellino 111, 80131 Naples, Italy.

PubMed

Insights

Cancer-associated mutations in SASH1 sterile alpha motif 1 (SASH1-Sam1) may alter its interaction with EphA2 receptor tyrosine kinase. This study analyzes how these mutations affect SASH1-Sam1 stability and binding to EphA2, potentially impacting cancer progression.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Cancer Research

Background:

  • SASH1 protein interacts with Eph tyrosine kinase receptors, including EphA2.
  • The sterile alpha motif domain 1 (Sam1) of SASH1 is involved in this interaction.
  • EphA2 plays a critical role in cancer development and progression.

Purpose of the Study:

  • To investigate the functional consequences of cancer-associated SASH1-Sam1 mutations.
  • To determine how these mutations affect SASH1-Sam1 stability and its interaction with EphA2-Sam.
  • To explore the potential link between SASH1-Sam1/EphA2-Sam complex formation and EphA2 activity in cancer.

Main Methods:

  • Analysis of cancer-related SASH1 variants from the COSMIC database.
  • Bioinformatic tools and molecular dynamic simulations to assess SASH1-Sam1 stability.
  • AlphaFold2 structure prediction and molecular docking to study SASH1-Sam1/EphA2-Sam binding.
  • Computational analysis of missense mutations within the SASH1-Sam1 domain.

Main Results:

  • Identified cancer-linked missense mutations in the SASH1-Sam1 domain.
  • Simulations predicted that certain mutations could destabilize SASH1-Sam1 structure.
  • Docking studies suggested that mutations may alter the binding affinity between SASH1-Sam1 and EphA2-Sam.
  • A computational protocol was established for analyzing cancer-associated protein variants.

Conclusions:

  • Cancer-associated mutations in SASH1-Sam1 can potentially disrupt its structural integrity.
  • These mutations may modulate the interaction with EphA2, influencing EphA2 activity in cancer.
  • The study provides a framework for analyzing structural impacts of cancer variants using AI tools.