A response to the comments concerning “(liquid+liquid) phase behaviour for systems containing (aromatic+TBA+methylcyclohexane)”

2005 ◽  
Vol 37 (4) ◽  
pp. 393
Author(s):  
H. Ghanadzadeh ◽  
A. Ghanadzadeh
Keyword(s):  
Molecules ◽  
2020 ◽  
Vol 25 (20) ◽  
pp. 4705
Author(s):  
Adiran Garaizar ◽  
Ignacio Sanchez-Burgos ◽  
Rosana Collepardo-Guevara ◽  
Jorge R. Espinosa

Proteins containing intrinsically disordered regions (IDRs) are ubiquitous within biomolecular condensates, which are liquid-like compartments within cells formed through liquid–liquid phase separation (LLPS). The sequence of amino acids of a protein encodes its phase behaviour, not only by establishing the patterning and chemical nature (e.g., hydrophobic, polar, charged) of the various binding sites that facilitate multivalent interactions, but also by dictating the protein conformational dynamics. Besides behaving as random coils, IDRs can exhibit a wide-range of structural behaviours, including conformational switching, where they transition between alternate conformational ensembles. Using Molecular Dynamics simulations of a minimal coarse-grained model for IDRs, we show that the role of protein conformation has a non-trivial effect in the liquid–liquid phase behaviour of IDRs. When an IDR transitions to a conformational ensemble enriched in disordered extended states, LLPS is enhanced. In contrast, IDRs that switch to ensembles that preferentially sample more compact and structured states show inhibited LLPS. This occurs because extended and disordered protein conformations facilitate LLPS-stabilising multivalent protein–protein interactions by reducing steric hindrance; thereby, such conformations maximize the molecular connectivity of the condensed liquid network. Extended protein configurations promote phase separation regardless of whether LLPS is driven by homotypic and/or heterotypic protein–protein interactions. This study sheds light on the link between the dynamic conformational plasticity of IDRs and their liquid–liquid phase behaviour.


2002 ◽  
Vol 34 (6) ◽  
pp. 669-679 ◽  
Author(s):  
Claus Cagran ◽  
Christian Brunner ◽  
Achim Seifter ◽  
Gernot Pottlacher

1996 ◽  
Vol 31 (1) ◽  
pp. 157-163 ◽  
Author(s):  
J. D. Carter ◽  
M. M. Nasrallah ◽  
H. U. Anderson

2003 ◽  
Vol 206 (1-2) ◽  
pp. 61-85 ◽  
Author(s):  
A. Touriño ◽  
L.M. Casás ◽  
G. Marino ◽  
M. Iglesias ◽  
B. Orge ◽  
...  
Keyword(s):  

2007 ◽  
Vol 255 (2) ◽  
pp. 147-159 ◽  
Author(s):  
Blanca Estela García-Flores ◽  
Arturo Trejo ◽  
Jacinto Águila-Hernández

2016 ◽  
Vol 81 (7) ◽  
pp. 789-798
Author(s):  
Danijela Soldatovic ◽  
Nikola Grozdanic ◽  
Zoran Visak ◽  
Ivona Radovic ◽  
Mirjana Kijevcanin

In this work, the liquid - liquid and solid - liquid phase behaviour of ten aqueous pseudo-binary and three binary systems containing polyethylene glycol 2050, polyethylene glycol 35000, aniline, N,N-dimethylaniline and water, in the temperature range T = (298.15 to 350.15) K and at ambient pressure of 0.1 MPa, was studied. The obtained temperature-composition phase diagrams showed that the only functional co-solvent was PEG2050 for aniline in water, while PEG35000 even showed a clear anti-solvent effect in the N,N-dimethylaniline aqueous system. The experimental SLE data have been correlated by the Non-Random Two-Liquid (NRTL) model, and the correlation results are in accordance with the experimental results.


2021 ◽  
Author(s):  
Giulio Tesei ◽  
Thea K. Schulze ◽  
Ramon Crehuet ◽  
Kresten Lindorff-Larsen

Many intrinsically disordered proteins (IDPs) may undergo liquid-liquid phase separation (LLPS) and participate in the formation of membraneless organelles in the cell, thereby contributing to the regulation and compartmentalisation of intracellular biochemical reactions. The phase behaviour of IDPs is sequence-dependent, and its investigation through molecular simulations requires protein models that combine computational efficiency with an accurate description of intra- and intermolecular interactions. We developed a general coarse-grained model of IDPs, with residue-level detail, based on an extensive set of experimental data on single-chain properties. Ensemble-averaged experimental observables are predicted from molecular simulations, and a data-driven parameter-learning procedure is used to identify the residue-specific model parameters that minimize the discrepancy between predictions and experiments. The model accurately reproduces the experimentally observed conformational propensities of a set of IDPs. Through two-body as well as large-scale molecular simulations, we show that the optimization of the intramolecular interactions results in improved predictions of protein self-association and LLPS.


Sign in / Sign up

Export Citation Format

Share Document