bioRxivBiophysicsPreprint
Proteus software for physics-based protein design
D. Mignon, K. Druart, V. Opuu, S. Polydorides, F. Villa, T. Gaillard, E. Michael, G. Archontis, T. Simonson
Abstract
We describe methods and software for physics-based protein design. The folded state energy combines molecular mechanics with Generalized Born solvent. Sequence and conformation space are sampled with Replica Exchange Monte Carlo, assuming one or a few fixed protein backbone structures and discrete side chain rotamers. Whole protein design and enzyme design are presented as illustrations. Full redesign of three PDZ domains was done using a simple, empirical, unfolded state model. Designed sequences were very similar to natural ones. Enzyme redesign exploited a powerful, adaptive, importance sampling approach that allows the design to directly target substrate binding, reaction rate, catalytic efficiency, or the specificity of these properties. Redesign of tyrosyl-tRNA synthetase stereospecificity is reported as an example.Competing Interest StatementThe authors have declared no competing interest.View Full Text
- assay: protein sequence
- research focus: protein design
- approach: deep learning
- approach: statistical model
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