Random-phase-approximation theory for sequence-dependent, biologically functional liquid-liquid phase separation of intrinsically disordered proteins
Yi-Hsuan Lin, Jianhui Song, Julie D. Forman-Kay, Hue Sun Chan

TL;DR
This paper advances the understanding of how sequence-specific electrostatics influence liquid-liquid phase separation in intrinsically disordered proteins using an improved random-phase-approximation theory, with applications to biological systems.
Contribution
It introduces an enhanced RPA heteropolymer theory that accounts for sequence-specific electrostatics and applies it to real IDPs, improving predictions of phase behavior.
Findings
RPA predicts different phase diagrams than mean-field theories.
Charge distribution significantly affects phase separation tendencies.
Concentration-dependent permittivity enhances IDP attraction.
Abstract
Intrinsically disordered proteins (IDPs) are typically low in nonpolar/hydrophobic but relatively high in polar, charged, and aromatic amino acid compositions. Some IDPs undergo liquid-liquid phase separation in the aqueous milieu of the living cell. The resulting phase with enhanced IDP concentration can function as a major component of membraneless organelles that, by creating their own IDP-rich microenvironments, stimulate critical biological functions. IDP phase behaviors are governed by their amino acid sequences. To make progress in understanding this sequence-phase relationship, we report further advances in a recently introduced application of random-phase-approximation (RPA) heteropolymer theory to account for sequence-specific electrostatics in IDP phase separation. Here we examine computed variations in phase behavior with respect to block length and charge density of model…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
