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This book will be among the first to cover the detection methods for precision medicine that are set to transform health care in the future.
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S. Ren and E.J. Lien: CaCo-2 cell permeability vs human gastrointestinal absorption: QSPR analysis.- J.C.G. Halford and J.E. Blundell: Pharmacology of appetite suppression.- B. Olivier, W. Soudijn and I. van Wijngaarden: Serotonin, dopamine and norepinephrine transporters in the central nervous system and their inhibitors.- D. Poyner, H. Cox, M. Bushfield, J.M. Treherne and M.K. Demetrikopoulos: Neuropeptides in drug research.- M. Kumari and M.K. Ticku: Regulation of NMDA receptors by ethanol.- H. Horikoshi, T. Hashimoto and T. Fujiwara: Troglitazone and emerging glitazones: new avenues for potential therapeutic benefits beyond glycemic control.- Rosamund C. Smith and Simon J. Rhodes: Applications of developmental biology to medicine and animal agriculture.
Clinicians, scientists, and health care professionals use biomarkers or biological markers as a measure of a person’s present health condition or response to interventions. An ideal -biomarker should have the following criteria: (I) ability to detect fundamental features of the disease, (II) ability to differentiate from other closely related diseases, (III) ability to detect early stages and stages of progression, (IV) the method should be highly reliable, easy to perform and inexpensive, and (V) sample sources should be easily accessible from body. Most of the chapters in this book follow the basic principle of biomarkers.
This book features multi-omics big-data integration and data-mining techniques. In the omics age, paramount of multi-omics data from various sources is the new challenge we are facing, but it also provides clues for several biomedical or clinical applications. This book focuses on data integration and data mining methods for multi-omics research, which explains in detail and with supportive examples the “What”, “Why” and “How” of the topic. The contents are organized into eight chapters, out of which one is for the introduction, followed by four chapters dedicated for omics integration techniques focusing on several omics data resources and data-mining methods, and three chapters...
As a component of post-genome science, the field of proteomics has assumed great prominence in recent years. Whereas quantitative analyses focussed initially on relative quantification, a greater emphasis is now placed on absolute quantification and consideration of proteome dynamics. Coverage of the topic of quantitative proteomics requires consideration both of the analytical fundamentals of quantitative mass spectrometry and the specific demands of the problem being addressed. Quantitative Proteomics aims to outline the state of the art in mass spectrometry-based quantitative proteomics, describing recent advances and current limitations in the instrumentation used, together with the vari...
This third volume provides comprehensive protocols on pre-analytical, analytical, plasma, and serum proteomics. New and updated chapters are divided into nine sections, detailing blood processing and handling strategies, discovery- and targeted-based mass spectrometry, including workflows to aid in discovery and targeted data analysis, in addition to software and bioinformatics for the plasma proteome. This edition further integrates emerging areas in the development of technologies for plasma proteomics and assay platforms in biomarker discovery and translational proteomics, enrichment and detection strategies to understand the plasma proteome, and peptide, lipid and metabolite targeted ass...
Vols. for 1963- include as pt. 2 of the Jan. issue: Medical subject headings.