Hydrophobic Collapse of Trigger Factor Monomer in Solution

نویسندگان

  • Kushagra Singhal
  • Jocelyne Vreede
  • Alireza Mashaghi
  • Sander J. Tans
  • Peter G. Bolhuis
چکیده

Trigger factor (TF) is a chaperone, found in bacterial cells and chloroplasts, that interacts with nascent polypeptide chains to suppress aggregation. While its crystal structure has been resolved, the solution structure and dynamics are largely unknown. We performed multiple molecular dynamics simulations on Trigger factor in solution, and show that its tertiary domains display collective motions hinged about inter-domain linkers with minimal or no loss in secondary structure. Moreover, we find that isolated TF typically adopts a collapsed state, with the formation of domain pairs. This collapse of TF in solution is induced by hydrophobic interactions and stabilised by hydrophilic contacts. To determine the nature of the domain interactions, we analysed the hydrophobicity of the domain surfaces by using the hydrophobic probe method of Acharya et al., as the standard hydrophobicity scales predictions are limited due to the complex environment. We find that the formation of domain pairs changes the hydrophobic map of TF, making the N-terminal and arm2 domain pair more hydrophilic and the head and arm1 domain pair more hydrophobic. These insights into the dynamics and interactions of the TF domains are important to eventually understand chaperone-substrate interactions and chaperone function.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Hydrophobic effects within the dynamic pH-response of polybasic tertiary amine methacrylate brushes.

The solvation and swelling behaviour of three dialkylaminoethyl methacrylate polymer brushes, of varying hydrophobicity, have been investigated using a combination of in situ ellipsometry and a quartz crystal microbalance with dissipation (QCM-D). At low pH the tertiary amine groups of the three polymers are protonated and all three brushes are significantly solvated and swell by adopting an ex...

متن کامل

Impact of Hydrophobic Sequence Patterning on the Coil-to-Globule Transition of Protein-like Polymers

Understanding the driving forces for the collapse of a polymer chain from a random coil to a globule would be invaluable in enabling scientists to predict the folding of polypeptide sequences into defined tertiary structures. The HP model considers hydrophobic collapse to be the major driving force for protein folding. However, due to the inherent presence of chirality and hydrogen bonding in p...

متن کامل

The Collapse Transition in the HP Model

We studied the collapse transition on small homopolymeric and heteropolymeric sequences in the HP model on a two dimensional square lattice both with exact enumerations and Monte Carlo simulations. For heteropolymers, our analysis is restricted to native sequences (sequences which present one single minimal energy connguration) with a xed fraction of hydrophobic residues (= N H =N = 0:5). In th...

متن کامل

Characterization of Molecular Determinants of the Conformational Stability of Macrophage Migration Inhibitory Factor: Leucine 46 Hydrophobic Pocket

Macrophage Migration Inhibitory Factor (MIF) is a key mediator of inflammatory responses and innate immunity and has been implicated in the pathogenesis of several inflammatory and autoimmune diseases. The oligomerization of MIF, more specifically trimer formation, is essential for its keto-enol tautomerase activity and probably mediates several of its interactions and biological activities, in...

متن کامل

A Monte Carlo Algorithm for Studying the Collapse Transition in Lattice Animals

Polymers in dilute solution are expected to collapse from expanded to compact structures as either solvent quality or temperature is reduced. This collapse phase transition can be modelled using a lattice animal model which includes both monomer-solvent molecule interactions and monomer-monomer interactions. We discuss a Monte Carlo algorithm developed by us to study this two parameter lattice ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره 8  شماره 

صفحات  -

تاریخ انتشار 2013