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Computer-aided modeling of structure stabilizing disulfide bonds in recombinant human interferon-gamma
G Günther1, T Fechteler, C Villmann
1Fraunhofer Institut für Toxikologie und Aerosolforschung, Hannover, Germany. guenther@ita.fhg.de
Pharmaceutica Acta Helvetiae
|June 1, 1996
Summary
A new algorithm identifies disulfide bond insertion sites in proteins, enhancing stability. Applied to human interferon-gamma (IFN-gamma), this method aims to improve therapeutic applications by increasing protein stability and resistance to degradation.
Area of Science:
- Protein engineering
- Computational biology
- Structural biology
Background:
- Recombinant human interferon-gamma (rhu-IFN-gamma) is a cytokine with significant pharmaceutical interest.
- Its clinical application is limited by low thermodynamic stability and susceptibility to proteolytic degradation.
Purpose of the Study:
- To develop a general search algorithm for identifying optimal disulfide bond insertion sites in proteins.
- To apply this algorithm to rhu-IFN-gamma to enhance its stability and therapeutic potential.
Main Methods:
- A FORTRAN 77 program, "Ssuitable", was developed to analyze protein structures.
- The algorithm uses X-ray or NMR structure coordinates to find insertion sites with minimal conformational strain.
- A model of rhu-IFN-gamma was built using C alpha-coordinates from the Brookhaven database.
Main Results:
- The algorithm successfully identified four potential disulfide bond insertion sites in the rhu-IFN-gamma homodimer model.
- These sites connect the two subunits of the protein.
Conclusions:
- The insertion of new disulfide bonds is a promising strategy to enhance the thermodynamic stability of rhu-IFN-gamma.
- This approach is expected to improve the protein's resistance to proteolytic degradation, broadening its clinical utility.