Patrick M Piccione, Moritz N Lang, Felipe Amado Becker, Albert Hofstetter, Stéphanie Marchal, Kevin Ly, Valentin Legras, Andreas Ewert, David Kohler, Reto Maurer, Nina Willecke, Ryan Burwood, Paul Kroll
{"title":"用于药物产品开发的计算机辅助配方设计,第 01 部分:通过可视化工具探索材料。","authors":"Patrick M Piccione, Moritz N Lang, Felipe Amado Becker, Albert Hofstetter, Stéphanie Marchal, Kevin Ly, Valentin Legras, Andreas Ewert, David Kohler, Reto Maurer, Nina Willecke, Ryan Burwood, Paul Kroll","doi":"10.1016/j.ijpharm.2024.124891","DOIUrl":null,"url":null,"abstract":"<p><p>An interactive tool has been developed to help design oral solid dosage form formulations. The tool enables quantitative explorations and comparisons of physical, bulk, and mechanical properties, and takes into account functional characteristics as well. In this manner, comparisons and clustering of both excipients and APIs can be carried out. These comparisons enable the generation of alternatives as well as surrogate identification, so as to spare resources and material. Multiple data sources were merged to create a \"joint\" data table with all relevant properties. Four main workflow activities are supported: Explore Materials, Search Similar APIs, Search Similar Excipients and Search Material Clusters. Multi-dimensional filtering can be superimposed to each functionality. Suggested visualizations are made particularly accessible by providing them as \"standard plots\". The underlying philosophy is to empower formulation scientists to explore options, rather than prescribe decisions on exclusively mathematical grounds. The tool described here is the first step towards a holistic optimization incorporating predictions of mixture properties. Methodology of use is illustrated through three material selection application examples.</p>","PeriodicalId":14187,"journal":{"name":"International Journal of Pharmaceutics","volume":" ","pages":"124891"},"PeriodicalIF":5.3000,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Computer-Aided formulation design for pharmaceutical drug product development, part 01: Materials exploration through a visualization tool.\",\"authors\":\"Patrick M Piccione, Moritz N Lang, Felipe Amado Becker, Albert Hofstetter, Stéphanie Marchal, Kevin Ly, Valentin Legras, Andreas Ewert, David Kohler, Reto Maurer, Nina Willecke, Ryan Burwood, Paul Kroll\",\"doi\":\"10.1016/j.ijpharm.2024.124891\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>An interactive tool has been developed to help design oral solid dosage form formulations. The tool enables quantitative explorations and comparisons of physical, bulk, and mechanical properties, and takes into account functional characteristics as well. In this manner, comparisons and clustering of both excipients and APIs can be carried out. These comparisons enable the generation of alternatives as well as surrogate identification, so as to spare resources and material. Multiple data sources were merged to create a \\\"joint\\\" data table with all relevant properties. Four main workflow activities are supported: Explore Materials, Search Similar APIs, Search Similar Excipients and Search Material Clusters. Multi-dimensional filtering can be superimposed to each functionality. Suggested visualizations are made particularly accessible by providing them as \\\"standard plots\\\". The underlying philosophy is to empower formulation scientists to explore options, rather than prescribe decisions on exclusively mathematical grounds. The tool described here is the first step towards a holistic optimization incorporating predictions of mixture properties. Methodology of use is illustrated through three material selection application examples.</p>\",\"PeriodicalId\":14187,\"journal\":{\"name\":\"International Journal of Pharmaceutics\",\"volume\":\" \",\"pages\":\"124891\"},\"PeriodicalIF\":5.3000,\"publicationDate\":\"2024-10-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Pharmaceutics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.ijpharm.2024.124891\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PHARMACOLOGY & PHARMACY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Pharmaceutics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.ijpharm.2024.124891","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
Computer-Aided formulation design for pharmaceutical drug product development, part 01: Materials exploration through a visualization tool.
An interactive tool has been developed to help design oral solid dosage form formulations. The tool enables quantitative explorations and comparisons of physical, bulk, and mechanical properties, and takes into account functional characteristics as well. In this manner, comparisons and clustering of both excipients and APIs can be carried out. These comparisons enable the generation of alternatives as well as surrogate identification, so as to spare resources and material. Multiple data sources were merged to create a "joint" data table with all relevant properties. Four main workflow activities are supported: Explore Materials, Search Similar APIs, Search Similar Excipients and Search Material Clusters. Multi-dimensional filtering can be superimposed to each functionality. Suggested visualizations are made particularly accessible by providing them as "standard plots". The underlying philosophy is to empower formulation scientists to explore options, rather than prescribe decisions on exclusively mathematical grounds. The tool described here is the first step towards a holistic optimization incorporating predictions of mixture properties. Methodology of use is illustrated through three material selection application examples.
期刊介绍:
The International Journal of Pharmaceutics is the third most cited journal in the "Pharmacy & Pharmacology" category out of 366 journals, being the true home for pharmaceutical scientists concerned with the physical, chemical and biological properties of devices and delivery systems for drugs, vaccines and biologicals, including their design, manufacture and evaluation. This includes evaluation of the properties of drugs, excipients such as surfactants and polymers and novel materials. The journal has special sections on pharmaceutical nanotechnology and personalized medicines, and publishes research papers, reviews, commentaries and letters to the editor as well as special issues.