4N6U image
Entry Detail
PDB ID:
4N6U
Keywords:
Title:
Adhiron: a stable and versatile peptide display scaffold - truncated adhiron
Biological Source:
Source Organism:
Host Organism:
PDB Version:
Deposition Date:
2013-10-14
Release Date:
2014-04-09
Method Details:
Experimental Method:
Resolution:
2.25 Å
R-Value Free:
0.24
R-Value Work:
0.18
R-Value Observed:
0.18
Space Group:
P 41
Macromolecular Entities
Polymer Type:polypeptide(L)
Description:Adhiron
Chain IDs:A
Chain Length:79
Number of Molecules:1
Biological Source:ARTIFICIAL GENE
Primary Citation
Adhiron: a stable and versatile peptide display scaffold for molecular recognition applications.
Protein Eng.Des.Sel. 27 145 155 (2014)
PMID: 24668773 DOI: 10.1093/protein/gzu007

Abstact

We have designed a novel non-antibody scaffold protein, termed Adhiron, based on a phytocystatin consensus sequence. The Adhiron scaffold shows high thermal stability (Tm ca. 101°C), and is expressed well in Escherichia coli. We have determined the X-ray crystal structure of the Adhiron scaffold to 1.75 Å resolution revealing a compact cystatin-like fold. We have constructed a phage-display library in this scaffold by insertion of two variable peptide regions. The library is of high quality and complexity comprising 1.3 × 10(10) clones. To demonstrate library efficacy, we screened against the yeast Small Ubiquitin-like Modifier (SUMO). In selected clones, variable region 1 often contained sequences homologous to the known SUMO interactive motif (V/I-X-V/I-V/I). Four Adhirons were further characterised and displayed low nanomolar affinities and high specificity for yeast SUMO with essentially no cross-reactivity to human SUMO protein isoforms. We have identified binders against >100 target molecules to date including as examples, a fibroblast growth factor (FGF1), platelet endothelial cell adhesion molecule (PECAM-1; CD31), the SH2 domain Grb2 and a 12-aa peptide. Adhirons are highly stable and well expressed allowing highly specific binding reagents to be selected for use in molecular recognition applications.

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