Dynamic design: manipulation of millisecond timescale motions on the energy landscape of cyclophilin A. Issue 10 (6th February 2020)

• Record Type: Journal Article
• Authors: Juárez-Jiménez, Jordi; Gupta, Arun A.; Karunanithy, Gogulan; Mey, Antonia S. J. S.; Georgiou, Charis; Ioannidis, Harris; De Simone, Alessio; Barlow, Paul N.; Hulme, Alison N.; Walkinshaw, Malcolm D.; Baldwin, Andrew J.; Michel, Julien
• Is Part Of: Chemical science. Volume 11:Issue 10(2020)
• Page Start: 2670
• Page End: 2680
• Publication Date: 2020-02-06
• Subjects: Chemistry -- Periodicals; 540.5
• DOI: 10.1039/c9sc04696h
• Languages: English
• ISSNs: 2041-6520

Abstract

Abstract : Molecular simulations were used to design large scale loop motions in the enzyme cyclophilin A and NMR and biophysical methods were employed to validate the models. Abstract : Proteins need to interconvert between many conformations in order to function, many of which are formed transiently, and sparsely populated. Particularly when the lifetimes of these states approach the millisecond timescale, identifying the relevant structures and the mechanism by which they interconvert remains a tremendous challenge. Here we introduce a novel combination of accelerated MD (aMD) simulations and Markov state modelling (MSM) to explore these 'excited' conformational states. Applying this to the highly dynamic protein CypA, a protein involved in immune response and associated with HIV infection, we identify five principally populated conformational states and the atomistic mechanism by which they interconvert. A rational design strategy predicted that the mutant D66A should stabilise the minor conformations and substantially alter the dynamics, whereas the similar mutant H70A should leave the landscape broadly unchanged. These predictions are confirmed using CPMG and R1ρ solution state NMR measurements. By efficiently exploring functionally relevant, but sparsely populated conformations with millisecond lifetimes in silico, our aMD/MSM method has tremendous promise for the design of dynamic protein free energy landscapes for both protein engineering and drug discovery.