In silico prediction of GRP78-CRIPTO binding sites to improve therapeutic targeting in glioblastoma

Area of Science:

• Biophysics
• Computational Biology
• Oncology

Background:

• Glioblastoma multiforme (GBM) is an aggressive central nervous system (CNS) tumor.
• Overexpression of glucose-regulated protein 78 (GRP78) and CRIPTO is observed in GBM.
• A previously reported complex between GRP78 and CRIPTO activates signaling pathways promoting tumor proliferation.

Purpose of the Study:

• To investigate the molecular interactions and binding sites between GRP78 and CRIPTO.
• To elucidate the mechanism of complex formation between GRP78 SBDβ and CRIPTO CFC domains.

Main Methods:

• Utilized computational biophysics and bioinformatics tools.
• Employed protein-protein docking (Haddock web server) to predict binding regions.
• Performed molecular dynamics simulations (MDS) and MMGBSA calculations to assess complex stability and binding energy.

Main Results:

• Identified four potential binding regions between GRP78 SBDβ and CRIPTO CFC domains.
• Simulations confirmed the stability of these complexes, with binding free energies ranging from -15.07 to -126.26 kcal/mol.
• Specific binding sites were suggested to mediate stable interactions between GRP78 and CRIPTO.

Conclusions:

• GRP78 SBDβ stably associates with the CRIPTO CFC domain.
• The identified binding sites are critical for the GRP78-CRIPTO complex formation.
• These findings provide insights into GBM pathogenesis and potential therapeutic strategies targeting GRP78-CRIPTO interactions.