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Predicting substitutions to modulate disorder and stability in coiled-coils
- Source :
- BMC Bioinformatics, BMC Bioinformatics, BioMed Central, 2020, 21 (S19), ⟨10.1186/s12859-020-03867-x⟩, BMC Bioinformatics, 2020, 21 (S19), ⟨10.1186/s12859-020-03867-x⟩, BMC Bioinformatics, 2020, 21 (S19), pp.573. ⟨10.1186/s12859-020-03867-x⟩, BMC Bioinformatics, Vol 21, Iss S19, Pp 1-20 (2020)
- Publication Year :
- 2020
- Publisher :
- HAL CCSD, 2020.
-
Abstract
- 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 (IDRs) 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. 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, without requiring the input MD trajectory to actually sample the unfolded states of these regions. 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. Consequently, our method can be considered as a platform to reason about how to design substitutions aimed at regulating flexibility and stability.
- Subjects :
- [SDV]Life Sciences [q-bio]
Computational biology
Protein dynamics
[INFO] Computer Science [cs]
Molecular Dynamics Simulation
Molecular dynamics
lcsh:Computer applications to medicine. Medical informatics
Stability (probability)
Protein Structure, Secondary
[PHYS] Physics [physics]
03 medical and health sciences
Viral Proteins
Protein Domains
Protein stability
[INFO]Computer Science [cs]
Coiled-coil
[SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology
Amino Acid Sequence
Structural motif
lcsh:QH301-705.5
Conformational ensembles
030304 developmental biology
Physics
Flexibility (engineering)
[PHYS]Physics [physics]
0303 health sciences
Research
030302 biochemistry & molecular biology
Rational design
Nipah Virus
Computational Biology
[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]
Protein tertiary structure
[SDV] Life Sciences [q-bio]
lcsh:Biology (General)
Structural stability
Measles virus
Protein structure
lcsh:R858-859.7
Protein disorder
Subjects
Details
- Language :
- English
- ISSN :
- 14712105
- Database :
- OpenAIRE
- Journal :
- BMC Bioinformatics, BMC Bioinformatics, BioMed Central, 2020, 21 (S19), ⟨10.1186/s12859-020-03867-x⟩, BMC Bioinformatics, 2020, 21 (S19), ⟨10.1186/s12859-020-03867-x⟩, BMC Bioinformatics, 2020, 21 (S19), pp.573. ⟨10.1186/s12859-020-03867-x⟩, BMC Bioinformatics, Vol 21, Iss S19, Pp 1-20 (2020)
- Accession number :
- edsair.doi.dedup.....373d02c948f3997f100a0ac4aafbe816