Hasil Pencarian  ::  Simpan CSV :: Kembali

"Systems biology in cancer research and drug discovery provides a unique collection of chapters, by world-class researchers, describing the use of integrated systems biology and network modeling in the cancer field where traditional tools have failed to deliver expected promise. This book touches four applications/aspects of systems biology, (i) in understanding aberrant signaling in cancer, (ii) in identifying biomarkers and prognostic markers especially focused on angiogenesis pathways, (iii) in unwinding microRNAs complexity, and (iv) in anticancer drug discovery and in clinical trial design. This book reviews the state-of-the-art knowledge and touches upon cutting edge newer and improved applications especially in the area of network modeling. It is aimed at an audience ranging from students, academics, basic researcher and clinicians in cancer research. "

"This book is the first systems biology text to focus on how systems biology can be specifically applied to enhance drug discovery and development, with particular emphasis on real-world examples. Other texts on systems biology to date have focused on particular subdisciplines of systems biology (such as cellular networks) and have not specifically addressed drug discovery and development. This book introduces key methodologies and technical approaches for helping to solve many of the current challenges facing the pharmaceutical and biotechnology industries."

""Computational biology drives discovery through its use of high-throughput informatics approaches. This book provides a road map of the current drug development process and how computational biology approaches play a critical role across the entire drug discovery pipeline. Through the use of previously unpublished, real-life case studies the impact of a range of computational approaches are discussed at various phases of the pipeline. Additionally, a focus section provides innovative visualisation approaches, from both the drug discovery process as well as from other fields that utilise large datasets, recognising the increasing use of such technology. Serving the needs of early career and more experienced scientists, this up-to-date reference provides an essential introduction to the process and background of drug discovery, highlighting how computational researchers can contribute to that pipeline"--Provided by publisher."

"This is the first book to provide a complete overview of recent advances in the field and explore their tremendous potential for drug discovery and rational drug design. With chapters written by one or more leading experts in their specialty areas, the book addresses the chemistry, biology, and toxicology of aminoglycosides.Aminoglycoside antibiotics : from chemical biology to drug discovery is a great resource for academic and industrial researchers in drug design and mechanism studies and for researchers studying antibiotic resistance, antibiotic design and synthesis, and the discovery of novel pharmaceuticals."

"Filling a real knowledge gap, this handbook and ready reference is both modern and forward-looking in its emphasis on the "bench to bedside" translational approach to drug development. Clearly structured into three major parts, the book stakes out the boundaries of peptide drug development in the preclinical as well as clinical stages. The first part provides a general background and focuses on the characteristic strengths and weaknesses of peptide drugs. The second section contains five cases studies of peptides from diverse therapeutic fields, and the lessons to be learned from them, while the final part looks at new targets and opportunities, discussing several drug targets and diseases for which peptide drugs are currently being developed."

"Post genomics drug discovery and research explores and discusses some of the most important topics in post-genomics life and biopharmaceutical sciences. It provides an introduction to the field, outlining examples of many techniques currently used, as well as those still under development, which are important for the research of biopharmaceutical discovery in the post-genomics era.Integrates several developing and cutting-edge technologies and methods like bioinformatics, experimental therapeutics, and molecular recognitionIncludes discussion on topics such as : computer-aided ligand design, peptide and protein chemistry and synthesis, synthesis of active natural products, and the use of emerging technologies like proteomics, nanotechnology, or bioengineering."

"This book contains case studies of the discovery of erythromycin analogs (antibiotics), Tagamet, and Ultiva (remifentanil). Discusses the discovery of agents for the treatment and management of bacterial infections, Parkinson's disease, psoriasis, ulcers and stomach pain, atopic dermatitis, asthma, and cancer. Contains chapters on combinatorial chemistry, molecular biology-based drug discovery, genomics, and chemogenomics.The first volume of this set thoroughly describes conceptualizing a drug, creating a library of candidates for testing, screening those candidates for in vitro and in vivo activity, conducting and analyzing the results of clinical trials, and revising the drug as necessary."

"The Drug Discovery Handbook gives professionals a tool to facilitate drug discovery by bringing together, for the first time in one resource, a compendium of methods and techniques that need to be considered when developing new drugs. This comprehensive, practical guide presents an explanation of the latest techniques and methods in drug discovery, including: Genomics, proteomics, high-throughput screening, and systems biology Summaries of how these techniques and methods are used to discover new central nervous system agents, antiviral agents, respiratory drugs, oncology drugs, and more Specif"

"This handbook provides the first-ever inside view of today's integrated approach to rational drug design. Chemoinformatics experts from large pharmaceutical companies, as well as from chemoinformatics service providers and from academia demonstrate what can be achieved today by harnessing the power of computational methods for the drug discovery process. With the user rather than the developer of chemoinformatics software in mind, this book describes the successful application of computational tools to real-life problems and presents solution strategies to commonly encountered problems. It shows how almost every step of the drug discovery pipeline can be optimized and accelerated by using chemoinformatics tools-from the management of compound databases to targeted combinatorial synthesis, virtual screening and efficient hit-to-lead transition. "

"Born out of a project of the IUPAC's committee on Medicinal Chemistry and Drug Development, this reference addresses past and current strategies for successful drug analog development, extending the previously published volume by nine new analog classes and eight case studies. Like its precursor, this volume also contains a general section discussing universally applicable strategies for analog discovery and development. Spanning a wide range of therapeutic fields and chemical classes, the two volumes together constitute the first systematic approach to drug analog development."