Multi-scale molecular simulation of random peptide phase separation and its extended-to-compact structure transition driven by hydrophobic interactions.


Journal

Soft matter
ISSN: 1744-6848
Titre abrégé: Soft Matter
Pays: England
ID NLM: 101295070

Informations de publication

Date de publication:
25 Oct 2023
Historique:
medline: 26 10 2023
pubmed: 10 10 2023
entrez: 10 10 2023
Statut: epublish

Résumé

Intrinsically disordered proteins (IDPs) often undergo liquid-liquid phase separation (LLPS) and form membraneless organelles or protein condensates. One of the core problems is how do electrostatic repulsion and hydrophobic interactions in peptides regulate the phase separation process? To answer this question, this study uses random peptides composed of positively charged arginine (Arg, R) and hydrophobic isoleucine (Ile, I) as the model systems, and conduct large-scale simulations using all atom and coarse-grained model multi-scale simulation methods. In this article, we investigate the phase separation of different sequences using a coarse-grained model. It is found that the stronger the electrostatic repulsion in the system, the more extended the single-chain structure, and the more likely the system forms a low-density homogeneous phase. In contrast, the stronger the hydrophobic effect of the system, the more compact the single-chain structure, the easier phase separation, and the higher the critical temperature of phase separation. Overall, by taking the random polypeptides composed of two types of amino acid residues as model systems, this study discusses the relationship between the protein sequence and phase behaviour, and provides theoretical insights into the interactions within or between proteins. It is expected to provide essential physical information for the sequence design of functional IDPs, as well as data to support the diagnosis and treatment of the LLPS-associated diseases.

Identifiants

pubmed: 37815389
doi: 10.1039/d3sm00633f
doi:

Substances chimiques

Intrinsically Disordered Proteins 0
Peptides 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

7944-7954

Auteurs

Wen Bin Kang (WB)

School of Public Health, Hubei University of Medicine, Shiyan 442000, China. wbkang@hbmu.edu.cn.

Lei Bao (L)

School of Public Health, Hubei University of Medicine, Shiyan 442000, China. wbkang@hbmu.edu.cn.

Kai Zhang (K)

School of Physics, Nanjing University, Nanjing 210093, China.

Jia Guo (J)

School of Public Health, Hubei University of Medicine, Shiyan 442000, China. wbkang@hbmu.edu.cn.

Ben Chao Zhu (BC)

School of Public Health, Hubei University of Medicine, Shiyan 442000, China. wbkang@hbmu.edu.cn.

Qian-Yuan Tang (QY)

Department of Physics, Hong Kong Baptist University, Kowloon, Hong Kong SAR, China.

Wei Tong Ren (WT)

Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, China.

Gen Zhu (G)

School of Public Health, Hubei University of Medicine, Shiyan 442000, China. wbkang@hbmu.edu.cn.

Articles similaires

Humans Meta-Analysis as Topic Sample Size Models, Statistical Computer Simulation
Humans Algorithms Software Artificial Intelligence Computer Simulation
Humans Robotic Surgical Procedures Clinical Competence Male Female
Animals Huntington Disease Mitochondria Neurons Mice

Classifications MeSH