Literature DB >> 35119946

Rules of Physical Mathematics Govern Intrinsically Disordered Proteins.

Kingshuk Ghosh1,2, Jonathan Huihui1, Michael Phillips1, Austin Haider2.   

Abstract

In stark contrast to foldable proteins with a unique folded state, intrinsically disordered proteins and regions (IDPs) persist in perpetually disordered ensembles. Yet an IDP ensemble has conformational features-even when averaged-that are specific to its sequence. In fact, subtle changes in an IDP sequence can modulate its conformational features and its function. Recent advances in theoretical physics reveal a set of elegant mathematical expressions that describe the intricate relationships among IDP sequences, their ensemble conformations, and the regulation of their biological functions. These equations also describe the molecular properties of IDP sequences that predict similarities and dissimilarities in their functions and facilitate classification of sequences by function, an unmet challenge to traditional bioinformatics. These physical sequence-patterning metrics offer a promising new avenue for advancing synthetic biology at a time when multiple novel functional modes mediated by IDPs are emerging.

Entities:  

Keywords:  disorder; function; heteropolymer; liquid–liquid phase separation; polyampholyte; proteome

Mesh:

Substances:

Year:  2022        PMID: 35119946      PMCID: PMC9190209          DOI: 10.1146/annurev-biophys-120221-095357

Source DB:  PubMed          Journal:  Annu Rev Biophys        ISSN: 1936-122X            Impact factor:   19.763


  94 in total

1.  Minimum energy compact structures of random sequences of heteropolymers.

Authors: 
Journal:  Phys Rev Lett       Date:  1993-10-11       Impact factor: 9.161

2.  Inferring properties of disordered chains from FRET transfer efficiencies.

Authors:  Wenwei Zheng; Gül H Zerze; Alessandro Borgia; Jeetain Mittal; Benjamin Schuler; Robert B Best
Journal:  J Chem Phys       Date:  2018-03-28       Impact factor: 3.488

3.  Identifying sequence perturbations to an intrinsically disordered protein that determine its phase-separation behavior.

Authors:  Benjamin S Schuster; Gregory L Dignon; Wai Shing Tang; Fleurie M Kelley; Aishwarya Kanchi Ranganath; Craig N Jahnke; Alison G Simpkins; Roshan Mammen Regy; Daniel A Hammer; Matthew C Good; Jeetain Mittal
Journal:  Proc Natl Acad Sci U S A       Date:  2020-05-11       Impact factor: 11.205

4.  Sequence Effects on Size, Shape, and Structural Heterogeneity in Intrinsically Disordered Proteins.

Authors:  Upayan Baul; Debayan Chakraborty; Mauro L Mugnai; John E Straub; D Thirumalai
Journal:  J Phys Chem B       Date:  2019-04-15       Impact factor: 2.991

5.  Phase separation vs aggregation behavior for model disordered proteins.

Authors:  Ushnish Rana; Clifford P Brangwynne; Athanassios Z Panagiotopoulos
Journal:  J Chem Phys       Date:  2021-09-28       Impact factor: 3.488

6.  Sequence determinants of protein phase behavior from a coarse-grained model.

Authors:  Gregory L Dignon; Wenwei Zheng; Young C Kim; Robert B Best; Jeetain Mittal
Journal:  PLoS Comput Biol       Date:  2018-01-24       Impact factor: 4.475

7.  Connecting Coil-to-Globule Transitions to Full Phase Diagrams for Intrinsically Disordered Proteins.

Authors:  Xiangze Zeng; Alex S Holehouse; Ashutosh Chilkoti; Tanja Mittag; Rohit V Pappu
Journal:  Biophys J       Date:  2020-06-23       Impact factor: 4.033

8.  Liquid-Liquid Phase Separation of Patchy Particles Illuminates Diverse Effects of Regulatory Components on Protein Droplet Formation.

Authors:  Valery Nguemaha; Huan-Xiang Zhou
Journal:  Sci Rep       Date:  2018-04-30       Impact factor: 4.379

9.  Diffusion of a disordered protein on its folded ligand.

Authors:  Felix Wiggers; Samuel Wohl; Artem Dubovetskyi; Gabriel Rosenblum; Wenwei Zheng; Hagen Hofmann
Journal:  Proc Natl Acad Sci U S A       Date:  2021-09-14       Impact factor: 11.205

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