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Deficiencies in the reporting of VD and t(1/2) in the FDA approved chemotherapy drug inserts. FDA批准的化疗药物说明书中VD和t（1/2）的报告存在缺陷。
Pharmaceutical reviews Pub Date : 2010-02-03
Malcolm J D'Souza, Ghada J Alabed
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引用次数: 0
Structure Activity Relationships (SARs) Using a Structurally Diverse Drug Database: Validating Success of Predictor Tools. 结构活性关系（SARs）使用结构多样化的药物数据库：验证预测工具的成功。
Pharmaceutical reviews Pub Date : 2009-09-01
Malcolm J D'Souza, Fumie Koyoshi, Lynn M Everett
{"title":"Structure Activity Relationships (SARs) Using a Structurally Diverse Drug Database: Validating Success of Predictor Tools.","authors":"Malcolm J D'Souza, Fumie Koyoshi, Lynn M Everett","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>ADME/Tox (absorption, distribution, metabolism, elimination and toxicity) technology is traditionally associated as a tool in the drug discovery process which is often used to predict the efficiency of drug adsorption, distribution, metabolic pathways, and elimination. For the past four years we have been involved in an effort to evaluate readily available Food and Drug Administration (FDA) consumer drug profiles and pharmacological data. Portable Document Format (PDF) data from drug profiles available on the FDA Drug Information website were used to create a searchable FDA Consumer Drug Database<sup>©</sup> using Bio-Rad's KnowItAll<sup>®</sup> platform which includes ADME/Tox <i>in silico</i> predictors. 14 pertinent pharmaceutical and pharmacological properties were collected for 75 structurally diverse consumer prescription drugs, and for several drugs, not all properties were completely populated. The major objective of this investigation was to validate the platforms prediction models for plasma protein binding (PPB) and bioavailability (BIO).</p>","PeriodicalId":89454,"journal":{"name":"Pharmaceutical reviews","volume":"7 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2009-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4605434/pdf/nihms199390.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34097561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Extracting Relevant Information from FDA Drug Files to Create a Structurally Diverse Drug Database Using KnowItAll® 从FDA药物文件中提取相关信息，使用KnowItAll®创建结构多样的药物数据库
Pharmaceutical reviews Pub Date : 2009-05-08
Malcolm J D'Souza, Fumie Koyoshi
{"title":"Extracting Relevant Information from FDA Drug Files to Create a Structurally Diverse Drug Database Using KnowItAll<sup>®</sup>","authors":"Malcolm J D'Souza, Fumie Koyoshi","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Each Food and Drug Administration (FDA) consumer drug information file contains an inordinate amount of useful chemical, pharmaceutical, and pharmacological data. These files profile approved drugs by chemical structure, solubility, absorption, distribution, metabolism, elimination, toxicity (ADME/Tox), and possible adverse reactions. The ability to utilize this data in the classroom is a new approach to connect theory, technology, and reality. The KnowItAll<sup>®</sup> Informatics System available through Bio-Rad Laboratories, Philadelphia, PA, offers fully integrated software and/or database desktop solutions. It holds a large collection of <i>in silico</i> ADME/Tox predictors and is a chemical informatics platform used to record experimental data. This project had three goals: (1) extract relevant information for 75 drugs from their freely available FDA drug files (limited to orally administrated drugs, pro-drugs, having a chemical structure), (2) build a database so this extracted FDA information is indexed for search and analysis, and when completed, (3) undergraduates involved in such a project should be capable of harvesting useful chemical, pharmaceutical, and pharmacological information; be adept in computational chemistry software tools; and should gain an enhanced vocabulary and new insights into organic chemistry, molecular biology, and physiology.</p>","PeriodicalId":89454,"journal":{"name":"Pharmaceutical reviews","volume":"7 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2009-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4209477/pdf/nihms202096.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32781858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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