Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Juliana Rincón-López"'
Autor:
Juliana Rincón-López, Miguelina Martínez-Aguilera, Patricia Guadarrama, Karla Juarez-Moreno, Yareli Rojas-Aguirre
Publikováno v:
Molecules, Vol 27, Iss 9, p 3026 (2022)
βCDPEG5 and βCDPEG2 are two derivatives comprising seven PEG linear chains of 5 and 2 kDa, respectively, conjugated to βCD. As βCDPEGs display different physicochemical properties than their precursors, they could also trigger distinct cellular r
Externí odkaz:
https://doaj.org/article/f57e485b139648c598e7786ea82399e5
Publikováno v:
Pharmaceutics, Vol 13, Iss 8, p 1297 (2021)
We present a data-driven approach to unveil the pharmaceutical technologies of cyclodextrins (CDs) by analyzing a dataset of CD pharmaceutical patents. First, we implemented network science techniques to represent CD patents as a single structure and
Externí odkaz:
https://doaj.org/article/ef58d020d92e4c04bc7bd40e876bb6c4
Publikováno v:
Pharmaceutics, Vol 13, Iss 1297, p 1297 (2021)
Pharmaceutics
Volume 13
Issue 8
Pharmaceutics
Volume 13
Issue 8
We present a data-driven approach to unveil the pharmaceutical technologies of cyclodextrins (CDs) by analyzing a dataset of CD pharmaceutical patents. First, we implemented network science techniques to represent CD patents as a single structure and
Autor:
José L. López-Cervantes, Yareli Rojas-Aguirre, Salvador López-Morales, Hector Dominguez, Rubén Mendoza-Cruz, Juliana Rincón-López, Patricia Guadarrama, Miguel Costas, Norma J. Ramírez-Rodríguez, Arturo A. Garcia-Figueroa, Alberto S. Luviano
Publikováno v:
Journal of Drug Delivery Science and Technology. 67:102975
In this work we studied the self-aggregation abilities of βCDPEG5, a star-shaped pegylated derivative comprising seven PEG chains selectively conjugated to the primary face of βCD via triazole linkers. The critical aggregation concentration, determ
Publikováno v:
Journal of Drug Delivery Science and Technology
We herein disclose how global cyclodextrin-based pharmaceutical technologies have evolved since the early 80s through a 1998 patents dataset retrieved from Derwent Innovation Index. We used text-mining techniques based on the patents semantic content