TAILIEUCHUNG - Ebook Translational admet for drug therapy - Principles, methods, and pharmaceutical applications: Part 2

(BQ) Part 2 book “Translational admet for drug therapy - Principles, methods, and pharmaceutical applications” has contents: Drug drug interaction - from bench to drug label, general toxicology, toxicokinetics and toxicity testing in drug development, translational tools toward better drug therapy in human populations, and other contents. | 5 DRUG–DRUG INTERACTION: FROM BENCH TO DRUG LABEL INTRODUCTION: THE IMPACT OF DRUG–DRUG INTERACTION ON DRUG DISPOSITION AND DRUG SAFETY Drug–drug interaction (DDI) is one of the major obstacles for the pharmaceutical drug development process; uncovering its potential on any adverse clinical outcomes becomes increasingly important in drug discovery and development. Both in vitro and in vivo preclinical investigations to assess the any clinical outcomes prior to drug launch are taken into account to reveal the potential of DDI and its mechanism of any drug under development. Evaluation of the possible interactions of a drug candidate with other drugs as soon as possible—not only as an inhibitor or inducer (perpetrator) but also as a substrate (victim)—could avoid detrimental DDIs in humans. As will be discussed later, DDIs represent a major mechanism of adverse drug reactions, and consequently their evaluation is critical to studies within all the drug development stages, drug discovery, and regulation of new drug candidates to avoid any serious toxicity that leads to drug withdrawal postmarket. Finally, the ultimate goal of nonclinical and clinical DDI studies is to permit integration of DDI knowledge acquired in the development phase into prescribing guidance in a manner that enables optimal postmarketing risk management following marketing authorization. Not all the preclinically determined DDIs can be considered as clinically significant (poor correlation between in vitro and in vivo observation). The systemic Translational ADMET for Drug Therapy: Principles, Methods, and Pharmaceutical Applications, First Edition. Souzan B. Yanni. © 2015 John Wiley & Sons, Inc. Published 2015 by John Wiley & Sons, Inc. 140 DRUG–DRUG INTERACTION: FROM BENCH TO DRUG LABEL Victim Drug Absorption and Metabolism Perpetrator Drug [Inducer] Perpetrator Drug [Inhibitor] Hi exposure and toxicity Low renal/biliary excretion Low exposure and efficacy High .

• Translational admet for drug therapy
• Drug drug interaction
• General toxicology
• Toxicity testing
• Translational tools toward better drug therapy
• Human populations
• Pharmaceutical applications
• Translational concept
• Drug absorption
• Renal clearance
• BMC Genomics
• DNA methylation
• Human population identification
• Population differentiating CpGs
• Populations origin
• Genome Biology
• Human diversity
• Population genetics and genomics
• Single nucleotide variations
• Indigenous populations
• Disease risk allele
• Genetic variation in populations
• Genome analysis
• Introduction to the human genome
• Human genetic diversity
• Genetics in medicine
• The molecular basis of genetic disease
• Identifying the genetic basis for human disease
• BMC Cancer
• Human papillomavirus
• Head and neck cancer
• Meta analysis
• Human immunodeficiency virus
• BMC Genetics
• Positive selection
• Selective sweeps
• Human population genetics
• African populations
• BMC Biotechnology
• Whole cell mass spectrometry
• Human blood mononuclear cells
• Non classical
• Proinflammatory monocytes
• Human evolution
• Selective sweep
• Local adaptation
• Molecular functionality
• Neural crest
• Human dental pulp
• Cell based therapies
• Postnatal dental pulp stem cells
• Cell proliferation
• Stemness maintenance
• báo cáo khoa học
• báo cáo y học
• công trình nghiên cứu về y học
• tài liệu về y học
• cách trình bày báo cáo
• báo cáo hóa học
• công trình nghiên cứu về hóa học
• tài liệu về hóa học
• Vicious Cycles
• Staying Pregnant
• Human Newborn
• Epidemiological Collision
• poor populations
• trình bày báo cáo
• tài liệu báo cáo khoa học
• kiến thức y học
• nghiên cứu y học
• Economic Setting
• Adaptive Ecosystem Management
• Incorporating Uncertainty
• Biological Variation
• Environmental Variation
• Small Populations
• Human Realm
• Plant Genes
• Abiotic Stress
• Tumors (GEP NETs)
• Diagnosis and Management
• Neuroendocrine Carcinoma
• Unknown Primary
• Biological information
• Lecture Genetics
• Human genetics
• Genetic variation
• Allele frequency changes
• Analyzing quantitative variation
• Pneumocystis jirovecii pneumonia
• HIV negative
• T cells
• Peripheral blood lymphocytes
• Innate lymphoid cells
• Breast cancer
• Gastrointestinal cancer
• Immune checkpoint
• BMC Bioinformatics
• Variant annotation
• Disease populations
• Identifying polymorphisms
• Rare variants
• Disease associations
• Genetic burden
• Scalable metagenomics alignment research tool
• Metagenomic sequences
• Human gut microflora
• DNA sequence
• Single cell RNA seq
• Cell differentiation
• Cell heterogeneity
• Human stem cell
• Hunter gatherers
• Deep sequenced trio genomes
• Human genetic variations
• Haplotype phasing