A dataset of formulation compositions for self-emulsifying drug delivery systems.
Sci Data
; 10(1): 914, 2023 Dec 20.
Article
en En
| MEDLINE
| ID: mdl-38123567
ABSTRACT
Self-emulsifying drug delivery systems (SEDDS) are a well-established formulation strategy for improving the oral bioavailability of poorly water-soluble drugs. Traditional development of these formulations relies heavily on empirical observation to assess drug and excipient compatibility, as well as to select and optimize the formulation compositions. The aim of this work was to leverage previously developed SEDDS in the literature to construct a comprehensive SEDDS dataset that can be used to gain insights and advance data-driven approaches to formulation development. A dataset comprised of 668 unique SEDDS formulations encompassing 20 poorly water-soluble drugs was curated. While there are still opportunities to enhance the quality and quantity of data on SEDDS, this research lays the groundwork to potentially simplify the SEDDS formulation development process.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Sistemas de Liberación de Medicamentos
/
Excipientes
Idioma:
En
Revista:
Sci Data
Año:
2023
Tipo del documento:
Article
País de afiliación:
Canadá