| 查看: 180 | 回复: 3 | ||
| 【奖励】 本帖被评价2次,作者lihai0910增加金币 1.5 个 | ||
| 当前主题已经存档。 | ||
[资源]
Functional Informatics in Drug Discovery
|
||
|
Functional Informatics in Drug Discovery By Sergey Ilyin Publisher: CRC Number Of Pages: 160 Publication Date: 2007-08-21 Sales Rank: 974496 ISBN / ASIN: 1574444662 EAN: 9781574444667 Binding: Hardcover Manufacturer: CRC Studio: CRC Average Rating: Total Reviews: -------------------------------------------------------------------------------- Book Description: Integrating various technologies with informational systems provides vast improvements to the overall research and development that occur in the biopharmaceutical industry. One of the first books to explore this area, Functional Informatics in Drug Discovery examines all aspects of technology integration and information flow in a biopharmaceutical enterprise and outlines the specific technologies used at various stages of drug development. With contributions from leaders in academia, information technology, and the pharmaceutical industry, each chapter illustrates how a particular area of biological science can benefit from the tools of informatics. The book first looks at intelligent automation, neurally based computational tools, and pharmacodynamic (PD) biomarkers. It then reviews a variety of novel technologies and approaches presently used in drug discovery at Johnson & Johnson. The text also describes how informatics can advance antibody technology and drug development for oncology. After focusing on forward genetic and reverse genetic strategies to identify relevant target genes for drug discovery, the book explains proteomic expression profiling and explores the application of laser microdissection in transcriptomics. Taking a systematic approach, this volume examines the impact of informatics tools on various areas in biopharmaceuticals by presenting in-depth analyses of emerging trends and future opportunities. Preface......................................................................................................................vii Editor.........................................................................................................................ix Contributors ..............................................................................................................xi Chapter 1 Intelligent Automation .........................................................................1 James M. Dixon Chapter 2 Neurally Inspired Algorithms as Computational Tools.....................13 Mark Flynn and Garrett T. Kenyon Chapter 3 Using Pharmacodynamic Biomarkers to Accelerate Early Clinical Drug Development ...........41 Ole Vesterqvist Chapter 4 Opportunities in CNS Drug Discovery and Development................55 Albert Pinhasov, Anil H. Vaidya, Hong Xin, Daniel Horowitz, Daniel Rosenthal, Douglas E. Brenneman, Ewa Malatynska, Sergey E. Ilyin, and Carlos R. Plata-Salamán Chapter 5 Clinical Success of Antibody Therapeutics in Oncology .................65 Bernard J. Scallon, Linda A. Snyder, G. Mark Anderson, Qiming Chen, Li Yan, and Marian T. Nakada Chapter 6 Relating Target Sequence to Biological Function.............................91 Greg M. Arndt Chapter 7 Use of Protein Microarrays for Molecular Network Analysis and Signal-Pathway Profiling ......115 Katherine R. Calvo, Lance A. Liotta, and Emanuel F. Petricoin Chapter 8 Laser-Microdissection-Based Transcriptomics Using Microarrays ....131 Fredrik Kamme, Bernd Meurers, Jessica Zhu, Da-Thao Tran, Jingxue Yu, Changlu Liu, Andrew Carmen, and Bingren Hu Index.................................................141 http://www.91files.com/?HTE7NTLSQ2MPT93IOWU1 |
» 猜你喜欢
应该是93bebmhtak前后十一个字符比较关键
已经有19人回复
2026国自然放榜时间
已经有9人回复
这样的filecode谁见过
已经有22人回复
据悉今年马上要出结果了
已经有6人回复
综述论文作为代表作会不会影响评审专家的印象分?
已经有7人回复
面上项目filecode邪修
已经有7人回复
关于代码变化问题,想知道的进来
已经有22人回复
filecode与中标关系的预测
已经有5人回复
fileCode有新解读?
已经有18人回复
关于filecode,很负责任的告诉大家
已经有7人回复
2楼2007-10-10 11:54:49










回复此楼
20