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A strategy for proline and glycine mutations to proteins with alchemical free energy calculations.

Authors :
Hayes RL
Brooks CL 3rd
Source :
Journal of computational chemistry [J Comput Chem] 2021 Jun 05; Vol. 42 (15), pp. 1088-1094. Date of Electronic Publication: 2021 Apr 12.
Publication Year :
2021

Abstract

Computation of the thermodynamic consequences of protein mutations holds great promise in protein biophysics and design. Alchemical free energy methods can give improved estimates of mutational free energies, and are already widely used in calculations of relative and absolute binding free energies in small molecule design problems. In principle, alchemical methods can address any amino acid mutation with an appropriate alchemical pathway, but identifying a strategy that produces such a path for proline and glycine mutations is an ongoing challenge. Most current strategies perturb only side chain atoms, while proline and glycine mutations also alter the backbone parameters and backbone ring topology. Some strategies also perturb backbone parameters and enable glycine mutations. This work presents a strategy that enables both proline and glycine mutations and comprises two key elements: a dual backbone with restraints and scaling of bonded terms, facilitating backbone parameter changes, and a soft bond in the proline ring, enabling ring topology changes in proline mutations. These elements also have utility for core hopping and macrocycle studies in computer-aided drug design. This new strategy shows slight improvements over an alternative side chain perturbation strategy for a set T4 lysozyme mutations lacking proline and glycine, and yields good agreement with experiment for a set of T4 lysozyme proline and glycine mutations not previously studied. To our knowledge this is the first report comparing alchemical predictions of proline mutations with experiment. With this strategy in hand, alchemical methods now have access to the full palette of amino acid mutations.<br /> (© 2021 Wiley Periodicals LLC.)

Details

Language :
English
ISSN :
1096-987X
Volume :
42
Issue :
15
Database :
MEDLINE
Journal :
Journal of computational chemistry
Publication Type :
Academic Journal
Accession number :
33844328
Full Text :
https://doi.org/10.1002/jcc.26525