Comparison of response surface methodology and artificial neural network to optimize novel ophthalmic flexible nano-liposomes: Characterization, evaluation, in vivo pharmacokinetics and molecular dynamics simulation-Reference-Cited by-同舟云学术

Comparison of response surface methodology and artificial neural network to optimize novel ophthalmic flexible nano-liposomes: Characterization, evaluation, in vivo pharmacokinetics and molecular dynamics simulation

Published:2018-12 Issue: Volume:172 Page:288-297
ISSN:0927-7765
Container-title:Colloids and Surfaces B: Biointerfaces
language:en
Short-container-title:Colloids and Surfaces B: Biointerfaces

Author:

Zhao Fang,Lu Jia,Jin Xin,Wang Ze,Sun Yinghui,Gao Dandan,Li Xinyu,Liu Rui

Funder

National Science Foundation for Post-doctoral

Science and Technology Program of Tianjin

Program for Changjiang Scholars and Innovative Research Team in University

Key Projects of Tianjin Science and Technology Support Program

National Nature Science Foundation of China

Publisher

Elsevier BV

Subject

Colloid and Surface Chemistry,Physical and Theoretical Chemistry,Surfaces and Interfaces,General Medicine,Biotechnology

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4. In vivo anti-melanogenesis activity and in vitro skin permeability of niacinamide-loaded flexible liposomes (Bounsphere™)

5. Intracellular delivery mediated by an ethosomal carrier

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