Literature DB >> 30511187

Quantitative Structure-Property Relationship for pH-Triggered Drug Release Performance of Acid-Responsive Four/Six-Arms Star Polymeric Micelles.

Ran Zhang1, Li-Yang Wen1, Wen-Sheng Wu2, Xiao-Zhe Yuan1, Li-Juan Zhang3.   

Abstract

PURPOSE: The pH-responsive copolymer micelles are widely used as carriers in drug delivery system, but there are few micro-level mechanistically explorations on the pH-triggered drug release. Here we elucidate the relationship between drug release behavior of four/six-arms star copolymer micelles and the copolymer structures.
METHOD: The net cumulative drug release percentage (En) was taken as the dependent variables, block unit autocorrelation descriptors as independent variables. The quantitative structure-property relationship models of drug release from block copolymers were developed at pH 7.4 and 5.0 of two periods (stage I: 0~12 h, stage II: 12~96 h).
RESULTS: The models built are of good fitting ability, internal predictive ability, stability and statistically significance. Drug diffusion is mainly influenced by the intra-block force, and micellar erosion by inter-block force. At pH 5.0, lowest unoccupied molecular orbital energy of copolymer unit is the main factor influencing the En. Stage I of drug release is affected by hydrophobic property and stage II by regional polar of copolymer molecules.
CONCLUSION: The models present good performance, factors affecting drug release behavior at different pH conditions can offer guidance for the design of copolymer structures to control the drug release behavior of micelles in a targeted and quantitatively way.

Entities:  

Keywords:  block unit autocorrelation descriptor; cumulative drug release percentage; pH-responsive copolymer micelle; structure-property relation; topological structure

Mesh:

Substances:

Year:  2018        PMID: 30511187     DOI: 10.1007/s11095-018-2549-4

Source DB:  PubMed          Journal:  Pharm Res        ISSN: 0724-8741            Impact factor:   4.200


  16 in total

1.  Validated QSAR prediction of OH tropospheric degradation of VOCs: splitting into training-test sets and consensus modeling.

Authors:  Paola Gramatica; Pamela Pilutti; Ester Papa
Journal:  J Chem Inf Comput Sci       Date:  2004 Sep-Oct

2.  Statistical external validation and consensus modeling: a QSPR case study for Koc prediction.

Authors:  Paola Gramatica; Elisa Giani; Ester Papa
Journal:  J Mol Graph Model       Date:  2006-08-04       Impact factor: 2.518

3.  Genetic algorithm-optimized QSPR models for bioavailability, protein binding, and urinary excretion.

Authors:  Junmei Wang; George Krudy; Xiang-Qun Xie; Chengde Wu; George Holland
Journal:  J Chem Inf Model       Date:  2006 Nov-Dec       Impact factor: 4.956

4.  y-Randomization and its variants in QSPR/QSAR.

Authors:  Christoph Rücker; Gerta Rücker; Markus Meringer
Journal:  J Chem Inf Model       Date:  2007-09-20       Impact factor: 4.956

5.  A drug release study from hydroxypropylmethylcellulose (HPMC) matrices using QSPR modeling.

Authors:  Taravat Ghafourian; Taravat Gafourian; Arezoo Safari; Khosro Adibkia; Fatemeh Parviz; Ali Nokhodchi
Journal:  J Pharm Sci       Date:  2007-12       Impact factor: 3.534

6.  Effect of formulation parameters and drug-polymer interactions on drug release from starch acetate matrix tablets.

Authors:  Jari Pajander; Ossi Korhonen; Maria Laamanen; Eeva-Leena Ryynänen; Ian Grimsey; Bert van Veen; Jarkko Ketolainen
Journal:  J Pharm Sci       Date:  2009-10       Impact factor: 3.534

Review 7.  How not to develop a quantitative structure-activity or structure-property relationship (QSAR/QSPR).

Authors:  J C Dearden; M T D Cronin; K L E Kaiser
Journal:  SAR QSAR Environ Res       Date:  2009       Impact factor: 3.000

8.  QSAR study of malonyl-CoA decarboxylase inhibitors using GA-MLR and a new strategy of consensus modeling.

Authors:  Jiazhong Li; Beilei Lei; Huanxiang Liu; Shuyan Li; Xiaojun Yao; Mancang Liu; Paola Gramatica
Journal:  J Comput Chem       Date:  2008-12       Impact factor: 3.376

9.  Formation and degradation of multicomponent multicore micelles: insights from dissipative particle dynamics simulations.

Authors:  Houyang Chen; Eli Ruckenstein
Journal:  Langmuir       Date:  2013-04-24       Impact factor: 3.882

10.  Drug release from pH-sensitive polymeric micelles with different drug distributions: insight from coarse-grained simulations.

Authors:  Shu Yu Nie; Wen Jing Lin; Na Yao; Xin Dong Guo; Li Juan Zhang
Journal:  ACS Appl Mater Interfaces       Date:  2014-10-02       Impact factor: 9.229

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.