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Predicting substitutions to modulate disorder and stability in coiled-coils

Abstract : Background: Coiled-coils are described as stable structural motifs, where two or more helices wind around each other. However, coiled-coils are associated with local mobility and intrinsic disorder. Intrinsically disordered regions in proteins are characterized by lack of stable secondary and tertiary structure under physiological conditions in vitro. They are increasingly recognized as important for protein function. However, characterizing their behaviour in solution and determining precisely the extent of disorder of a protein region remains challenging, both experimentally and computationally. Results: In this work, we propose a computational framework to quantify the extent of disorder within a coiled-coil in solution and to help design substitutions modulating such disorder. Our method relies on the analysis of conformational ensembles generated by relatively short all-atom Molecular Dynamics (MD) simulations. We apply it to the phosphoprotein multimerisation domains (PMD) of Measles virus (MeV) and Nipah virus (NiV), both forming tetrameric left-handed coiled-coils. We show that our method can help quantify the extent of disorder of the C-terminus region of MeV and NiV PMDs from MD simulations of a few tens of nanoseconds, and without requiring an extensive exploration of the conformational space. Moreover, this study provided a conceptual framework for the rational design of substitutions aimed at modulating the stability of the coiled-coils. By assessing the impact of four substitutions known to destabilize coiled-coils, we derive a set of rules to control MeV PMD structural stability and cohesiveness. We therefore design two contrasting substitutions, one increasing the stability of the tetramer and the other increasing its flexibility. Conclusions: Our method can be considered as a platform to reason about how to design substitutions aimed at regulating flexibility and stability.
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Contributor : Sonia Longhi <>
Submitted on : Saturday, February 27, 2021 - 5:16:56 PM
Last modification on : Monday, March 29, 2021 - 2:47:32 PM


Karami et al BMC Bioinformatic...
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Yasaman Karami, Paul Saighi, Rémy Vanderhaegen, Denis Gerlier, Sonia Longhi, et al.. Predicting substitutions to modulate disorder and stability in coiled-coils. BMC Bioinformatics, BioMed Central, 2020, 21 (S19), ⟨10.1186/s12859-020-03867-x⟩. ⟨hal-03154196⟩



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