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Genomics in Drug Discovery and Development
Early characterization of toxicity and efficacy would significantly impact the overall productivity of pharmaceutical R&D and reduce drug candidate attrition and failure. By describing the available platforms and weighing their relative advantages and disadvantages, including microarray data analysis, Genomics in Drug Discovery and Development introduces readers to the biomarker, pharmacogenomic, and toxicogenomics toolbox. The authors provide a valuable resource for pharmaceutical discovery scientists, preclinical drug safety department personnel, regulatory personnel, discovery toxicologists, and safety scientists, drug development professionals, and pharmaceutical scientists.
Algebraic Biology
"This volume constitutes the refereed proceedings of the Second International Conference on Algebraic Biology, held at the Castle of Hagenberg, Austria in July 2007. The conference was run as part of the Research Institute for Symbolic Computation (RISC) Summer 2007. Nineteen full papers are presented, together with three invited papers and four tutorials. Each paper has been carefully reviewed by the book's team of expert editors to ensure each one meets the highest standards of research and scholarship. The conference served as an interdisciplinary forum for the presentation of research on all aspects of the application of symbolic computation in biology, including computer algebra, computational logic, and related methods. Papers also examine solutions to problems in biology using symbolic methods."--Publisher's website.
ABC Transporters - 40 Years on
This book provides new structural, biochemical, and clinical information on ABC transporters. The authors explore and describe the state of the art of research, knowledge, and prospects for the future for this important family of proteins. The first ABC transporter was discovered in 1973 and was named P-glycoprotein. It elicits resistance to cytotoxic drugs, chiefly in human tumours, within which chemotherapy failure is observed in about 50% of cases. Together with its complex pharmacology, and even a suspected role in Alzheimer’s disease, this ABC transporter still eludes a clinical solution to its multidrug resistance property. ABC transporters are integral membrane active proteins and t...
Stephens' Detection and Evaluation of Adverse Drug Reactions
The detection and evaluation of adverse drug reactions is crucial for understanding the safety of medicines and for preventing harm in patients. Not only is it necessary to detect new adverse drug reactions, but the principles and practice of pharmacovigilance apply to the surveillance of a wide range of medicinal products. Stephens' Detection and Evaluation of Adverse Drug Reactions provides a comprehensive review of all aspects of adverse drug reactions throughout the life cycle of a medicine, from toxicology and clinical trials through to pharmacovigilance, risk management, and legal and regulatory requirements. It also covers the safety of biotherapeutics and vaccines and includes new ch...
Handbook on Synchrotron Radiation
Volume 2 of this series concentrates on the use of synchrotron radiation which covers that region of the electromagnetic spectrum which extends from about 10eV to 3keV in photon energy and is essentially the region where the radiation is strongly absorbed by atmospheric gases. It therefore has to make extensive use of a high vacuum to transport the radiation to the workstation where the presence of hard X-rays can cause extensive damage to both the optics and the targets used in the experimental rigs. The topics chosen for this volume have been limited to the disciplines of physics and chemistry.
Machine Learning in Bioinformatics
An introduction to machine learning methods and their applications to problems in bioinformatics Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines, neural networks, and graphical models have been successful in analyzing life science data because of their capabilities in handling randomness and uncertainty of data noise and in generalizatio...
Collage Quilter
Join artist and educator Emily Taylor on a creative journey through the process of making a collage quilt! Emily explains through step-by-step photos and illustrations how to make four beautiful projects.
Vacuum Ultraviolet Photoionization and Photodissociation of Molecules and Clusters
This monograph reviews the recent progress in vacuum ultraviolet (VUV) photoionization and photodissociation processes. Photoionization, photoelectron, and fluorescence spectroscopic techniques have played an important role in revealing the photoionization and photodissociation dynamics of molecules in the vacuum ultraviolet region and in providing accurate energetic and spectroscopic information of ions as well as neutral molecules. The book represents the first detailed review of major experimental developments in the studies of single vacuum ultraviolet photon ionization and dissociation processes of gaseous molecules and clusters.
Mass Spectrometry
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Breakthroughs in College Reading
How do we help college students become independent learners in their disciplines? In this collection, the editors and contributors argue that we do so by supporting students in learning from texts, which entails recognizing reading as a problem-solving process, supporting students to take responsibility for the intellectual work in their classes, and creating strong classroom communities that help students develop identities as scholars.
