Prediction of the three-dimensional structure of the human Fas receptor by comparative molecular modeling

Area of Science:

• Immunology
• Structural Biology
• Computational Biology

Background:

• Fas antigen is a cell surface receptor in the tumor necrosis factor receptor (TNFR) superfamily.
• Fas signaling mediates programmed cell death (apoptosis) crucial for immune system regulation.
• The three-dimensional structure and ligand-binding interactions of Fas are not yet elucidated.

Purpose of the Study:

• To generate a three-dimensional model of the Fas extracellular region.
• To predict the Fas ligand binding site.
• To enhance understanding of Fas-mediated apoptosis.

Main Methods:

• Comparative modeling was employed to construct the three-dimensional model.
• Inverse folding analysis was utilized to assess model accuracy and sequence-structure compatibility.
• The model was analyzed in conjunction with data from related TNFR family members (TNFR and CD40).

Main Results:

• A three-dimensional model of the Fas extracellular region was successfully generated.
• Inverse folding analysis indicated good sequence-structure compatibility, suggesting reasonable model accuracy.
• The Fas ligand binding site was predicted based on the developed model and comparative analysis.

Conclusions:

• The generated three-dimensional model provides a structural basis for understanding Fas function.
• The predicted Fas ligand binding site offers insights into molecular interactions regulating apoptosis.
• This study advances structural and molecular understanding of Fas-mediated immune responses.