Generalization of a prototype intelligent hybrid system for hard gelatin capsule formulation development
The aim of this project was to expand a previously developed prototype expert network for use in the analysis of multiple biopharmaceutics classification system (BCS) class II drugs. The model drugs used were carbamazepine, chlorpropamide, diazepam, ibuprofen, ketoprofen, naproxen, and piroxicam. Re...
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Veröffentlicht in: | AAPS PharmSciTech 2005-10, Vol.6 (3), p.E449-E457 |
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creator | Wilson, Wendy I Peng, Yun Augsburger, Larry L |
description | The aim of this project was to expand a previously developed prototype expert network for use in the analysis of multiple biopharmaceutics classification system (BCS) class II drugs. The model drugs used were carbamazepine, chlorpropamide, diazepam, ibuprofen, ketoprofen, naproxen, and piroxicam. Recommended formulations were manufactured and tested for dissolution performance. A comprehensive training data set for the model drugs was developed and used to retrain the artificial neural network. The training and the system were validated based on the comparison of predicted and observed performance of the recommended formulations. The initial test of the system resulted in high error values, indicating poor prediction capabilities for drugs other than piroxicam. A new data set, containing 182 batches, was used for retraining. Ten percent of the test batches were used for cross-validation, resulting in models with R2 > or = 70%. The comparison of observed performance to the predicted performance found that the system predicted successfully. The hybrid network was generally able to predict the amount of drug dissolved within 5% for the model drugs. Through validation, the system was proven to be capable of designing formulations that met specific drug performance criteria. By including parameters to address wettability and the intrinsic dissolution characteristics of the drugs, the hybrid system was shown to be suitable for analysis of multiple BCS class II drugs. |
doi_str_mv | 10.1208/pt060356 |
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Through validation, the system was proven to be capable of designing formulations that met specific drug performance criteria. 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By including parameters to address wettability and the intrinsic dissolution characteristics of the drugs, the hybrid system was shown to be suitable for analysis of multiple BCS class II drugs.</description><subject>Artificial Intelligence</subject><subject>Capsules</subject><subject>Chemistry, Pharmaceutical</subject><subject>Gelatin - analysis</subject><subject>Gelatin - chemical synthesis</subject><subject>Reproducibility of Results</subject><subject>Technology, Pharmaceutical - methods</subject><issn>1530-9932</issn><issn>1530-9932</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkUtLxDAUhYMoOo6Cv0CyEjejebSZZiPI4AsEN7MPaXo7E2mbmqQD9dcbmfG1cnUD97vnnpuD0BklV5SR4rqPRBCeiz00oTknMyk52__1PkLHIbwSwjiV_BAdUcHzjJBsgtYP0IHXjX3X0boOuxpr3HsXXRx7wLaL0DR2BV3E67H0tsJhDBFaXDuP19pXeAVNGu2w0X0YGvhstEOzVatgA43r2zR-gg5q3QQ43dUpWt7fLRePs-eXh6fF7fPMZDyLs0rSwpBCcMEYK4uSQy1qLefpklKDMNLIks9zoXlRsToThAhgohRQU8Mp51N0s5Xth7KFyqTN6TrVe9tqPyqnrfrb6exardxGsXlOuCRJ4GIn4N3bACGq1gaTPkF34IagRCFJxuj8X5DRZCdjIoGXW9B4F4KH-tsNJeozPvUVX0LPf7v_AXd58Q_KoJhs</recordid><startdate>20051022</startdate><enddate>20051022</enddate><creator>Wilson, Wendy I</creator><creator>Peng, Yun</creator><creator>Augsburger, Larry L</creator><general>Springer-Verlag</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20051022</creationdate><title>Generalization of a prototype intelligent hybrid system for hard gelatin capsule formulation development</title><author>Wilson, Wendy I ; Peng, Yun ; Augsburger, Larry L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c434t-d918c08636222b8b3ef6fa97530bae6c9c9b3756a38d2f46006e26b6ef1c3133</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Artificial Intelligence</topic><topic>Capsules</topic><topic>Chemistry, Pharmaceutical</topic><topic>Gelatin - analysis</topic><topic>Gelatin - chemical synthesis</topic><topic>Reproducibility of Results</topic><topic>Technology, Pharmaceutical - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wilson, Wendy I</creatorcontrib><creatorcontrib>Peng, Yun</creatorcontrib><creatorcontrib>Augsburger, Larry L</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>AAPS PharmSciTech</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wilson, Wendy I</au><au>Peng, Yun</au><au>Augsburger, Larry L</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Generalization of a prototype intelligent hybrid system for hard gelatin capsule formulation development</atitle><jtitle>AAPS PharmSciTech</jtitle><addtitle>AAPS PharmSciTech</addtitle><date>2005-10-22</date><risdate>2005</risdate><volume>6</volume><issue>3</issue><spage>E449</spage><epage>E457</epage><pages>E449-E457</pages><issn>1530-9932</issn><eissn>1530-9932</eissn><abstract>The aim of this project was to expand a previously developed prototype expert network for use in the analysis of multiple biopharmaceutics classification system (BCS) class II drugs. 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Through validation, the system was proven to be capable of designing formulations that met specific drug performance criteria. By including parameters to address wettability and the intrinsic dissolution characteristics of the drugs, the hybrid system was shown to be suitable for analysis of multiple BCS class II drugs.</abstract><cop>United States</cop><pub>Springer-Verlag</pub><pmid>16354004</pmid><doi>10.1208/pt060356</doi><oa>free_for_read</oa></addata></record> |
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subjects | Artificial Intelligence Capsules Chemistry, Pharmaceutical Gelatin - analysis Gelatin - chemical synthesis Reproducibility of Results Technology, Pharmaceutical - methods |
title | Generalization of a prototype intelligent hybrid system for hard gelatin capsule formulation development |
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