Artículo
Naratriptan aggregation in lipid bilayers: perspectives from molecular dynamics simulations
Fecha de publicación:
09/2016
Editorial:
Springer
Revista:
Journal of Molecular Modeling
ISSN:
1610-2940
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
In order to understand the interaction between naratriptan and a fully hydrated bilayer of 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphatidyl-choline (POPC), we carried out molecular dynamics simulations. The simulations were performed considering neutral and protonated ionization states, starting from different initial conditions. At physiological pH, the protonated state of naratriptan is predominant. It is expected that neutral compounds could have larger membrane partition than charged compounds. However, for the specific case of triptans, it is difficult to study neutral species in membranes experimentally, making computer simulations an interesting tool. When the naratriptan molecules were originally placed in water, they partitioned between the bilayer/water interface and water phase, as has been described for similar compounds. From this condition, the drugs displayed low access to the hydrophobic environment, with no significant effects on bilayer organization. The molecules anchored in the interface, due mainly to the barrier function of the polar and oriented lipid heads. On the other hand, when placed inside the bilayer, both neutral and protonated naratriptan showed self-aggregation in the lipid tail environment. In particular, the protonated species exhibited a pore-like structure, dragging water through this environment.
Palabras clave:
Lipid Bilayer
,
Molecular Dynamics
,
Naratriptan
,
Popc
Archivos asociados
Licencia
Identificadores
Colecciones
Articulos(NANOBIOTEC)
Articulos de INSTITUTO DE NANOBIOTECNOLOGIA
Articulos de INSTITUTO DE NANOBIOTECNOLOGIA
Citación
Wood, Irene; Pickholz, Mónica Andrea; Naratriptan aggregation in lipid bilayers: perspectives from molecular dynamics simulations; Springer; Journal of Molecular Modeling; 22; 9; 9-2016; 1-9
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