Molecular dynamics study of structure, folding, and aggregation of poly-glycine-alanine (Poly-GA).


Journal

The Journal of chemical physics
ISSN: 1089-7690
Titre abrégé: J Chem Phys
Pays: United States
ID NLM: 0375360

Informations de publication

Date de publication:
14 Apr 2019
Historique:
entrez: 15 4 2019
pubmed: 15 4 2019
medline: 15 4 2019
Statut: ppublish

Résumé

Poly-glycine-alanine (poly-GA) proteins are widely believed to be one of the main toxic dipeptide repeat molecules associated with amyotrophic lateral sclerosis (ALS) and frontotemporal dementia diseases. Using discontinuous molecular dynamics simulation and an all-atom model of the proteins, we study folding, stability, and aggregation of poly-GA. The results demonstrate that poly-GA is an aggregation-prone protein that, after a long enough time, forms β-sheet-rich aggregates that match recent experiment data and that two unique helical structures are formed very frequently, namely, β-helix and double-helix. The details of the two structures are analyzed. The analysis indicates that such helical structures are stable and share the characteristics of both α-helices and β-sheets. Molecular simulations indicate that identical phenomena also occur in the aggregation of poly-glycine-arginine (poly-GR). Therefore, we hypothesize that proteins of type (GX)

Identifiants

pubmed: 30981220
doi: 10.1063/1.5081867
doi:

Types de publication

Journal Article

Langues

eng

Pagination

144307

Auteurs

Size Zheng (S)

College of Materials and Chemistry and Chemical Engineering, Chengdu University of Technology, Chengdu, Sichuan 610059, People's Republic of China.

Ali Sahimi (A)

Department of Stem Cell Biology and Regenerative Medicine, University of Southern California, Los Angeles, California 90033-1425, USA.

Katherine S Shing (KS)

Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, California 90089-1211, USA.

Muhammad Sahimi (M)

Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, California 90089-1211, USA.

Classifications MeSH