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Probing the minimal determinants of zinc binding with computational protein design
- Source :
- Protein engineering, designselection : PEDS. 29(8)
- Publication Year :
- 2016
-
Abstract
- Structure-based protein design tests our understanding of the minimal determinants of protein structure and function. Previous studies have demonstrated that placing zinc binding amino acids (His, Glu, Asp or Cys) near each other in a folded protein in an arrangement predicted to be tetrahedral is often sufficient to achieve binding to zinc. However, few designs have been characterized with high-resolution structures. Here, we use X-ray crystallography, binding studies and mutation analysis to evaluate three alternative strategies for designing zinc binding sites with the molecular modeling program Rosetta. While several of the designs were observed to bind zinc, crystal structures of two designs reveal binding configurations that differ from the design model. In both cases, the modeling did not accurately capture the presence or absence of second-shell hydrogen bonds critical in determining binding-site structure. Efforts to more explicitly design second-shell hydrogen bonds were largely unsuccessful as evidenced by mutation analysis and low expression of proteins engineered with extensive primary and secondary networks. Our results suggest that improved methods for designing interaction networks will be needed for creating metal binding sites with high accuracy.
- Subjects :
- 0301 basic medicine
Models, Molecular
Molecular model
Protein Conformation
Protein design
chemistry.chemical_element
Bioengineering
Zinc
010402 general chemistry
Crystallography, X-Ray
Protein Engineering
01 natural sciences
Biochemistry
03 medical and health sciences
Protein structure
Point Mutation
Binding site
Molecular Biology
Binding Sites
Chemistry
Hydrogen bond
Proteins
Hydrogen Bonding
Protein engineering
0104 chemical sciences
030104 developmental biology
Biophysics
Original Article
Biotechnology
Binding domain
Subjects
Details
- ISSN :
- 17410134
- Volume :
- 29
- Issue :
- 8
- Database :
- OpenAIRE
- Journal :
- Protein engineering, designselection : PEDS
- Accession number :
- edsair.doi.dedup.....f919243f35c1a21eef8c909aeb0153c6