Modeling and Simulation of Bacterial Outer Membranes with Lipopolysaccharides and Capsular Polysaccharides.
J Chem Inf Model
; 63(5): 1592-1601, 2023 03 13.
Article
en En
| MEDLINE
| ID: mdl-36802606
ABSTRACT
Capsule is one of the common virulence factors in Gram-negative bacteria protecting pathogens from host defenses and consists of long-chain capsular polysaccharides (CPS) anchored in the outer membrane (OM). Elucidating structural properties of CPS is important to understand its biological functions as well as the OM properties. However, the outer leaflet of the OM in current simulation studies is represented exclusively by LPS due to the complexity and diversity of CPS. In this work, representative Escherichia coli CPS, KLPS (a lipid A-linked form) and KPG (a phosphatidylglycerol-linked form), are modeled and incorporated into various symmetric bilayers with co-existing LPS in different ratios. All-atom molecular dynamics simulations of these systems have been conducted to characterize various bilayer properties. Incorporation of KLPS makes the acyl chains of LPS more rigid and ordered, while incorporation of KPG makes them less ordered and flexible. These results are consistent with the calculated area per lipid (APL) of LPS, in which the APL of LPS becomes smaller when KLPS is incorporated, whereas it gets larger when KPG is included. Torsional analysis reveals that the influence of the CPS presence on the conformational distributions of the glycosidic linkages of LPS is small, and minor differences are also detected for the inner and outer regions of the CPS. Combined with previously modeled enterobacterial common antigens (ECAs) in the form of mixed bilayers, this work provides more realistic OM models as well as the basis for characterization of interactions between the OM and OM proteins.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Lipopolisacáridos
/
Membrana Externa Bacteriana
Tipo de estudio:
Prognostic_studies
Idioma:
En
Revista:
J Chem Inf Model
Asunto de la revista:
INFORMATICA MEDICA
/
QUIMICA
Año:
2023
Tipo del documento:
Article
País de afiliación:
China