首页 诗词 字典 板报 句子 名言 友答 励志 学校 网站地图
当前位置: 首页 > 图书频道 > 进口原版 > Professional >

Cancer Drug Design and Discovery

2012-02-27 
商家名称 信用等级 购买信息 订购本书
Cancer Drug Design and Discovery 去商家看看
Cancer Drug Design and Discovery 去商家看看

 Cancer Drug Design and Discovery


基本信息·出版社:Academic Press
·页码:448 页
·出版日期:2007年10月
·ISBN:0123694485
·条形码:9780123694485
·装帧:精装
·正文语种:英语

内容简介 在线阅读本书

The ultimate source of information on the design of new anticancer agents, emphasising small molecules, this newest work covers recent notable successes resulting from the human genome and cancer genomics projects. These advances have provided information on targets involved in specific cancers that are leading to effective medicines for at least some of the common solid tumours. Unique sections explain the basic underlying principles of cancer drug development and provide a practical introduction to modern methods of drug design. Appealing to a broad audience, this is an excellent reference for translational researchers interested in cancer biology and medicine as well as students in pharmacy, pharmacology, or medicinal and biological chemistry, and clinicians taking oncology options.

* Covers both currently available drugs as well as those under development
* Provides a clinical perspective on trials of new anticancer agents
* Presents drug discovery examples through the use of case histories
作者简介 Hanan Samet is Professor in the Department of Computer Science at the University of Maryland, and a member of the Center for Automation Research and the Institute for Advanced Computer Studies. He is widely published in the fields of spatial databases and data structures, computer graphics, image databases and image processing, and geographic information systems (GIS), and is considered an authority on the use and design of hierarchical spatial data structures such as the quadtree and octree for geographic information systems, image processing, and computer graphics. He is the author of the two books The Design and Analysis of Spatial Data Structures and Applications of Spatial Data Structures: Computer Graphics, Image Processing and GIS. He holds a Ph.D. in computer science from Stanford University.


编辑推荐 Review
Honorable Mention Award in the 2006 best book in Computer and Information Science competition from the Professional and Scholarly Publishers(PSP) Group of the American Publishers Association (AAP) "Hanan Samet is the dean of "spatial indexing"... This book is encyclopedic... this book will be invaluable for those of us who struggle with spatial data, scientific datasets, graphics, vision problems involving volumetric queries, or with higher dimensional datasets common in data mining." - From the foreword by Jim Gray, Microsoft Research "Samet's book on multidimensional and metric data structures is the most complete and thorough presentation on this topic. It has broad coverage of material from computational geometry, databases, graphics, GIS, and similarity retrieval literature. Written by the leading authority on hierarchical spatial representations, this book is a "must have" for all instructors, researchers, and developers working and teaching in these areas." - Dinesh Manocha, University of North Carolina at Chapel Hill "To summarize, this book is excellent! It's a very comprehensive survey of spatial and multidimensional data structures and algorithms, which is badly needed. The breadth and depth of coverage is astounding and I would consider several parts of it required reading for real time graphics and game developers." - Bretton Wade, University of Washington and Microsoft Corp. "It's a truly encyclopedic book on data structures for accelerating all sorts of 3D queries." - Hector Yee, Hectorgon - A Graphics Programming Blog, October 18, 2006

Review
Honorable Mention Award in the 2006 best book in Computer and Information Science competition from the Professional and Scholarly Publishers(PSP) Group of the American Publishers Association (AAP)

"Hanan Samet is the dean of "spatial indexing"... This book is encyclopedic... this book will be invaluable for those of us who struggle with spatial data, scientific datasets, graphics, vision problems involving volumetric queries, or with higher dimensional datasets common in data mining."
- From the foreword by Jim Gray, Microsoft Research

"Samet's book on multidimensional and metric data structures is the most complete and thorough presentation on this topic. It has broad coverage of material from computational geometry, databases, graphics, GIS, and similarity retrieval literature. Written by the leading authority on hierarchical spatial representations, this book is a "must have" for all instructors, researchers, and developers working and teaching in these areas."
- Dinesh Manocha, University of North Carolina at Chapel Hill

"To summarize, this book is excellent! It's a very comprehensive survey of spatial and multidimensional data structures and algorithms, which is badly needed. The breadth and depth of coverage is astounding and I would consider several parts of it required reading for real time graphics and game developers."
- Bretton Wade, University of Washington and Microsoft Corp.

"It's a truly encyclopedic book on data structures for accelerating all sorts of 3D queries."
- Hector Yee, Hectorgon - A Graphics Programming Blog, October 18, 2006

热点排行