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Direct Protein Delivery to Mammalian Cells Using Cell-permeable Cys2-His2 Zinc-finger Domains
Published on: March 25, 2015
Inside-Out Design of Zinc-Binding Proteins with Non-Native Backbones
Sharon L Guffy1, Surya V S R K Pulavarti2, Joseph Harrison1
1Department of Biochemistry and Biophysics, University of North Carolina, Chapel Hill, North Carolina 27599, United States.
We developed a novel protein design strategy to create functional, folded proteins with specific binding sites. Four out of twelve designed zinc-binding proteins successfully folded and bound zinc, demonstrating the method's potential.
Area of Science:
- Protein Engineering
- Computational Biology
- Biochemistry
Background:
- Designing functional proteins requires precise control over tertiary structure and the creation of molecular binding sites.
- Existing methods for *de novo* protein design face challenges in achieving specific structural and functional outcomes.
Purpose of the Study:
- To develop and validate a new computational strategy for the *de novo* design of functional proteins with specified binding sites.
- To engineer novel zinc-binding proteins using an inside-out design approach.
Main Methods:
- Utilized the Rosetta molecular modeling program with an 'inside-out' design strategy, starting with ligand-contacting α-helices.
- Built full-sized proteins around a ligand by adding helices to form a stable core and enhance ligand interactions.
- Designed 12 zinc-binding proteins with 4-5 helices each.
Main Results:
- Four of the 12 designed proteins successfully folded and exhibited zinc-binding capabilities.
- Observed equilibrium dissociation constants (K_d) for zinc binding ranged from 95 nM to 1.1 μM.
- The highest-affinity design (N12) adopted a unique conformation, validated by NMR, and closely matched its AlphaFold model (RMSD < 1 Å).
Conclusions:
- The inside-out design strategy in Rosetta is effective for creating functional, folded proteins with specific ligand-binding properties.
- Computational predictions, including AlphaFold, can guide and validate *de novo* protein designs, although sequence-level packing remains a challenge.
- This approach advances the field of protein engineering for creating novel biomolecules with tailored functions.
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