Self-organizing map analysis using multivariate data from theophylline powders predicted by a thin-plate spline interpolation

Journal of Pharmaceutical Sciences

Volumn 99, Issue 11, 2010, Pages 4535-4542

  Yasuda, Akihito ^a   Onuki, Yoshinori ^a   Kikuchi, Shingo ^a   Takayama, Kozo ^a  

^a HOSHI UNIVERSITY   (Japan)

Author keywords

Excipients; Multivariate analysis; Physical characterization; Powder technology; Preformulation; Simulations; Solid dosage form

Indexed keywords

MAGNESIUM STEARATE; MICROCRYSTALLINE CELLULOSE; THEOPHYLLINE;

ARTICLE; ARTIFICIAL NEURAL NETWORK; DRUG DESIGN; DRUG FORMULATION; MEASUREMENT; PREDICTION; SELF ORGANIZING MAP ANALYSIS; THIN PLATE SPINE INTERPOLATION;

EID: 78149354465     PISSN: 00223549     EISSN: 15206017     Source Type: Journal    
DOI: 10.1002/jps.22155     Document Type: Article

References (14)

1. International Conference on Harmonization of Technical Requirements for Registration of Pharmaceuticals for Human Use (August 2009), Pharmaceutical Development-Q8 (R2).
2. Yu LX. 2008. Pharmaceutical quality by design product and process development, understanding, and control. Pharm Res 25: 781-791.
3. Kohonen T. 1995. Self-organizing maps. Springer Series in Information Science. Springer: Berlin.
4. 2A) antagonists using self-organizing maps. J Comb Chem 5: 233-237.
5. Wang YH, Li Y, Yang SL, Yang L. 2005. Classification of substrates and inhibitors of P-glycoprotein using unsupervised machine learning approach. J Chem Inf Model 45: 750-757.
6. Kaiser D, Terfloth L, Kopp S, Schulz J, Leat R, Chiba P, Ecker GF, Gasteiger J. 2007. Self-organizing maps for identification of new inhibitors of P-glycoprotein. J Med Chem 50: 1698-1702.
7. 1H NMR metabonomics approach to the disease continuum of diabetic complications and premature death. Mol Syst Biol 4: 167.
8. Mäkinen V-P, Forsblom C, Thorn LM, Wadén J, Gordin D, Heikkilä O, Hietala K, Kyllönen L, Kytö J, Rosengård-Bärlund M, Saraheimo M, Tolonen N, Parkkonen M, Kaski K, Ala-Korpela M, Groop P-H, On Behalf of the FinnDiane Study Group. 2008. Metabolic phenotypes, vascular complications, and premature deaths in a population of 4, 197 patients with type 1 diabetes. Diabetes 57: 2480-2487.
9. Takayama K, Obata Y, Morishita M, Nagai T. 2004. Multivariate spline interpolation as a novel method to optimize pharmaceutical formulations. Pharmazie 59: 392-395.
10. Wahba G. 1990. Spline models for observational data. Philadelphia: Society for Industrial and Applied Mathematics.
11. Onuki Y, Takayama K. 2010. Phase behavior in a ternary lipid membrane estimated using a nonlinear response surface method and Kohonen's self-organizing maps. J Colloid Interf. Sci 343: 628-633.
12. Arai H, Suzuki T, Kaseda C, Ohyama K, Takayama K. 2007. Bootstrap resampling technique to evaluate the optimal formulation of theophylline tablets predicted by non-linear response surface method incorporating multivariate spline interpolation. Chem Pharm Bull 55: 586-593.
13. Onuki Y, Ohyama K, Kaseda C, Arai H, Suzuki T, Takayama K. 2008. Evaluation of the reliability of nonlinear optimal solutions in pharmaceuticals using a bootstrap resampling technique in combination with Kohonen's self-organizing maps. J Pharm Sci 97: 331-339.
14. Kikuchi S, Takayama K. 2009. Reliability assessment for the optimal formulations of pharmaceutical product predicted by nonlinear response surface method. Int J Pharm 374: 5-11.