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Rational design of proteins that exchange on functional timescales. | LitMetric

Rational design of proteins that exchange on functional timescales.

Nat Chem Biol

Department of Chemistry and Biomolecular Sciences, University of Ottawa, Ottawa, Ontario, Canada.

Published: December 2017

AI Article Synopsis

  • Proteins are dynamic and can switch between different shapes, which is crucial for their precise and efficient function.
  • Standard methods for designing new proteins often fail to replicate the efficiency of natural proteins because they can't properly account for these shape changes in a timely manner.
  • A new computational method called meta-multistate design was developed to create proteins that can spontaneously switch between two new shapes, leading to the creation of stable proteins called DANCERs, which operate on a millisecond timescale and could have various practical applications.

Article Abstract

Proteins are intrinsically dynamic molecules that can exchange between multiple conformational states, enabling them to carry out complex molecular processes with extreme precision and efficiency. Attempts to design novel proteins with tailored functions have mostly failed to yield efficiencies matching those found in nature because standard methods do not allow the design of exchange between necessary conformational states on a functionally relevant timescale. Here we developed a broadly applicable computational method to engineer protein dynamics that we term meta-multistate design. We used this methodology to design spontaneous exchange between two novel conformations introduced into the global fold of Streptococcal protein G domain β1. The designed proteins, named DANCERs, for dynamic and native conformational exchangers, are stably folded and switch between predicted conformational states on the millisecond timescale. The successful introduction of defined dynamics on functional timescales opens the door to new applications requiring a protein to spontaneously access multiple conformational states.

Download full-text PDF

Source
http://dx.doi.org/10.1038/nchembio.2503DOI Listing

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