Network models reveal stability and structural rearrangement of signal recognition particle

Shan Chang1, Hong-qiu He, Jian-ping Hu

  • 1College of Informatics, South China Agricultural University, Guangzhou, 510642, China. schang@scau.edu.cn

Insights

Signal recognition particle (SRP) and its receptor (SR) interactions stabilize protein targeting. Molecular dynamics simulations reveal domain movements facilitating SRP structural changes during protein translocation.

Area of Science:

  • Biochemistry
  • Structural Biology
  • Molecular Biophysics

Background:

  • The signal recognition particle (SRP) and its receptor (SR) complex are crucial for targeting membrane and secretory proteins during translation.
  • In Escherichia coli, SRP consists of the Ffh protein and 4.5S SRP RNA, with Ffh featuring methionine-rich (M), N-terminal (N), and GTPase (G) domains, often grouped as the NG domain.

Purpose of the Study:

  • To investigate the complex structure and dynamics of the SRP-SR complex using computational models.
  • To elucidate the functional movements of the Ffh protein within the SRP complex during cotranslational protein targeting.

Main Methods:

  • Gaussian Network Model (GNM) for analyzing structural stability and fluctuations.
  • Anisotropic Network Model (ANM) and cross-correlation analysis to determine the directions of domain movements.

Main Results:

  • Intermolecular interactions between SRP and SR significantly reduce fluctuations in the NG domains.
  • Large-scale structural rearrangements occur during the protein targeting cycle.
  • The NG domain of Ffh rotates clockwise around the GM linker, while the M domain moves in the opposite direction.

Conclusions:

  • The identified functional movements of the Ffh domains facilitate the structural transitions of SRP between its free and sequence-bound states.
  • Coarse-grained modeling approaches like GNM and ANM offer a rapid and generalizable method for studying protein assembly and supramolecular systems.

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