Ouyang D - Search Results

1

Integrated computer-aided formulation design: A case study of andrographolide/ cyclodextrin ternary formulation.

Gao H, Su Y, Wang W, Xiong W, Sun X, Ji Y, Yu H, Li H, Ouyang D. Gao H, et al. Among authors: ouyang d. Asian J Pharm Sci. 2021 Jul;16(4):494-507. doi: 10.1016/j.ajps.2021.03.006. Epub 2021 Jun 3. Asian J Pharm Sci. 2021. PMID: 34703498 Free PMC article.

2

Computer-Aided Formulation Design for a Highly Soluble Lutein-Cyclodextrin Multiple-Component Delivery System.

Zhao Q, Miriyala N, Su Y, Chen W, Gao X, Shao L, Yan R, Li H, Yao X, Cao D, Wang Y, Ouyang D. Zhao Q, et al. Among authors: ouyang d. Mol Pharm. 2018 Apr 2;15(4):1664-1673. doi: 10.1021/acs.molpharmaceut.8b00056. Epub 2018 Mar 15. Mol Pharm. 2018. PMID: 29505718

3

Analysis of the Literature and Patents on Solid Dispersions from 1980 to 2015.

Zhang J, Han R, Chen W, Zhang W, Li Y, Ji Y, Chen L, Pan H, Yang X, Pan W, Ouyang D. Zhang J, et al. Among authors: ouyang d. Molecules. 2018 Jul 12;23(7):1697. doi: 10.3390/molecules23071697. Molecules. 2018. PMID: 30002275 Free PMC article. Review.

4

Investigating molecular interactions of high-loaded glipizide-HPMCAS microparticles by integrated experimental and modeling techniques.

Li Q, Zhao Q, Jing Q, Ma X, Chen N, Ren G, Ouyang D, Ren F. Li Q, et al. Among authors: ouyang d. Eur J Pharm Sci. 2019 Apr 1;131:127-135. doi: 10.1016/j.ejps.2019.02.005. Epub 2019 Feb 5. Eur J Pharm Sci. 2019. PMID: 30735823

5

Deep learning for in vitro prediction of pharmaceutical formulations.

Yang Y, Ye Z, Su Y, Zhao Q, Li X, Ouyang D. Yang Y, et al. Among authors: ouyang d. Acta Pharm Sin B. 2019 Jan;9(1):177-185. doi: 10.1016/j.apsb.2018.09.010. Epub 2018 Sep 28. Acta Pharm Sin B. 2019. PMID: 30766789 Free PMC article.

6

Insight into the Dissolution Molecular Mechanism of Ternary Solid Dispersions by Combined Experiments and Molecular Simulations.

Han R, Huang T, Liu X, Yin X, Li H, Lu J, Ji Y, Sun H, Ouyang D. Han R, et al. Among authors: ouyang d. AAPS PharmSciTech. 2019 Aug 5;20(7):274. doi: 10.1208/s12249-019-1486-9. AAPS PharmSciTech. 2019. PMID: 31385095

7

Predicting complexation performance between cyclodextrins and guest molecules by integrated machine learning and molecular modeling techniques.

Zhao Q, Ye Z, Su Y, Ouyang D. Zhao Q, et al. Among authors: ouyang d. Acta Pharm Sin B. 2019 Nov;9(6):1241-1252. doi: 10.1016/j.apsb.2019.04.004. Epub 2019 May 8. Acta Pharm Sin B. 2019. PMID: 31867169 Free PMC article.

8

Investigating the molecular dissolution process of binary solid dispersions by molecular dynamics simulations.

Chan T, Ouyang D. Chan T, et al. Among authors: ouyang d. Asian J Pharm Sci. 2018 May;13(3):248-254. doi: 10.1016/j.ajps.2017.07.011. Epub 2017 Oct 23. Asian J Pharm Sci. 2018. PMID: 32104398 Free PMC article.

9

Predicting oral disintegrating tablet formulations by neural network techniques.

Han R, Yang Y, Li X, Ouyang D. Han R, et al. Among authors: ouyang d. Asian J Pharm Sci. 2018 Jul;13(4):336-342. doi: 10.1016/j.ajps.2018.01.003. Epub 2018 Feb 2. Asian J Pharm Sci. 2018. PMID: 32104407 Free PMC article.

10

Investigation of molecular aggregation mechanism of glipizide/cyclodextrin complexation by combined experimental and molecular modeling approaches.

Huang T, Zhao Q, Su Y, Ouyang D. Huang T, et al. Among authors: ouyang d. Asian J Pharm Sci. 2019 Nov;14(6):609-620. doi: 10.1016/j.ajps.2018.10.008. Epub 2018 Dec 8. Asian J Pharm Sci. 2019. PMID: 32104487 Free PMC article.

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