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A physics-based energy function allows the computational redesign of a PDZ domain
Journal article   Open access   Peer reviewed

A physics-based energy function allows the computational redesign of a PDZ domain

Vaitea Opuu, Young Joo Sun, Titus Hou, Nicolas Panel, Ernesto Fuentes and Thomas Simonson
Scientific reports, Vol.10(1), pp.11150-11150
07/07/2020
DOI: 10.1038/s41598-020-67972-w
PMCID: PMC7341745
PMID: 32636412
url
https://doi.org/10.1038/s41598-020-67972-wView
Published (Version of record) Open Access

Abstract

Computational protein design (CPD) can address the inverse folding problem, exploring a large space of sequences and selecting ones predicted to fold. CPD was used previously to redesign several proteins, employing a knowledge-based energy function for both the folded and unfolded states. We show that a PDZ domain can be entirely redesigned using a "physics-based" energy for the folded state and a knowledge-based energy for the unfolded state. Thousands of sequences were generated by Monte Carlo simulation. Three were chosen for experimental testing, based on their low energies and several empirical criteria. All three could be overexpressed and had native-like circular dichroism spectra and 1D-NMR spectra typical of folded structures. Two had upshifted thermal denaturation curves when a peptide ligand was present, indicating binding and suggesting folding to a correct, PDZ structure. Evidently, the physical principles that govern folded proteins, with a dash of empirical post-filtering, can allow successful whole-protein redesign.
Biochemistry, Molecular Biology Biomolecules Cellular Biology Life Sciences Molecular biology

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