PPT-Pharmacometrics and Biostatistics Interactions at the FDA
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Jeffry Florian PhD Division of Pharmacometrics OCPOTSCDER U S Food and Drug Administration wwwfdagov Presented at ASA 2016 Biopharmaceutical Section RegulatoryIndustry
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Pharmacometrics and Biostatistics Interactions at the FDA: Transcript
Jeffry Florian PhD Division of Pharmacometrics OCPOTSCDER U S Food and Drug Administration wwwfdagov Presented at ASA 2016 Biopharmaceutical Section RegulatoryIndustry Statistics . 200 iley iss nc Ke words hypothesi test multipl comparisons statisti image nonparametric permutatio test randomizatio test SPM genera linea model INTRODUCTION Th statistica analyse functiona mappin ex periment usuall proceed th voxe level involv in Paul Deitel, CEO. Deitel & Associates, Inc.. Contact Information. Paul Deitel, CEO. Deitel & Associates, Inc.. Twitter: @deitel/@. pdeitel. Facebook. : . http://tinyurl.com/deitelfacebook. deitel@deitel.com. Cornell Notes and Q’s:. Take 2 pages of Cornell Notes based on the information you learn about in this presentation. . Answer the Questions you see included on the slides. (Q:). These notes will be included in a notebook check. 20 . Alexandra Kent & Allyson Brome. University of Utah. Non Covalent Interactions. Wiki Page. : . http. ://en.wikipedia.org/wiki/Non-. covalent_interactions. . Other References: . Anslyn. , E. V., Dougherty, D. A. (2006). Modern Physical Organic Chemistry. Sausalito, CA. University Science.. Types of species interactions. Positive . Negative. N. eutral. Positive species interactions. Mutualism. Both species benefit by interacting with each other. Ant-Acacia mutualism. Mutualism. http://. Louis Wu, PA-C. Presented at VAPAA Annual Meeting. . March 2, 2017. . Financial Disclosures and Conflicts. I have no financial disclosures nor conflicts concerning this talk. . . Learning Objectives. (Perhaps Your Own!). ASA Working Group to Revise the Undergraduate Statistics Curriculum. Winter 2013. Outline. Introduction of Invited Participants. Sandy Weisberg, . Univ. of Minnesota. Jane Monaco, UNC Biostatistics. Daniel J. Sargent, PhD. 1970-2016. Wore Many hats…. Section Head, Cancer Center Statistics, Mayo Clinic. Chair, Division of Biomedical Statistics and Informatics . Director, Biostatistics Shared Resource for the Mayo Clinic Cancer Center. June 12, 2018. Why PPI?. Protein-protein interactions determine outcome of most cellular processes. Proteins which are close homologues often interact in the same way. Protein-protein interactions place evolutionary constraints on protein sequence and structural divergence. . Department . of Pharmaceutics. 1. 26-Feb-16. Drug interactions . :. . These are said . to occur when the pharmacological activity of a drug is altered by the concomitant use of another drug or by the presence of some other substance. . Drug-Drug Interactions. Basic mechanisms of drug-drug interactions. Clinical significance of drug-drug interactions. Minimizing adverse drug-drug interactions. Drug-Drug Interactions. Interactions can occur whenever a patient takes more than one drug.. Presented by: Debbie Rosenberger BSN, RN- BC . University of Mary Hardin-Baylor. Conflicts of interest. I have no potential conflict of interest in relation to this educational activity or presentation.. Sam Portillo. BNFO 300. Homology Modeling – Begins with Amino Acid Sequence. Comparative search to find similar protein in structure database. Structure Database. Predicted Structure. Ahmed et al. (2015) uses “hint!”. Elizabeth Bess. University of Utah. Non-covalent interactions with Pi systems. Overview: . Non-covalent interactions are the underpinnings of chemical selectivity, molecular recognition, and supramolecular molecules’ tertiary structure (e.g., enzymes and DNA). These through-space, rather than through-bond, interactions arise from attractions between oppositely and fully or partially charged species. One such class of non-covalent interactions are the intermolecular interactions of pi systems with other pi systems or charged species. .
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