東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Bioinformatics and computational bio...

Loging, William T.

Linked to FindBook

Google Book

Amazon

博客來

Bioinformatics and computational biology in drug discovery and development

Record Type:	Electronic resources : Monograph/item
Title/Author:	Bioinformatics and computational biology in drug discovery and development/ edited by William T. Loging.
remainder title:	Bioinformatics & Computational Biology in Drug Discovery & Development
other author:	Loging, William T.
Published:	Cambridge :Cambridge University Press, : 2016.,
Description:	xi, 233 p. :ill., digital ;24 cm.
[NT 15003449]:	Machine generated contents note: Foreword; Preface: the future of drug discovery and health care / Eric Schadt; 1. The art and science of the Drug Discovery Pipeline (DDP) / William T. Loging; 2. Computational approaches to drug target identification / Thomas B. Freeman and Pek Lum; 3. Understanding human disease knowledge through text mining / Raul Rodriguez-Esteban; 4. Integrating translational biomarkers into drug development / Jonathan Phillips; 5. Computational phenotypic assessment of small molecules in drug discovery / William T. Loging and Thomas B. Freeman; 6. Data visualization and the DDP process / Ke Xu; 7. Information visualization - important IT considerations / Telmo Silva; 8. The New Drug Application (NDA) and regulatory approval stages / William T. Loging, Marilyn Lewis, Bryn Williams-Jones and Roy Mansfield; 9. Clinical trial failures and drug repositioning / Mark Crawford and Jeff Handler; Appendix I. Additional knowledge-based analysis approaches / Raul Rodriguez-Esteban; Appendix II. Open source tools and public data sources / Yirong Wang and William T. Loging; Index.
Subject:	Drug development. -
Online resource:	https://doi.org/10.1017/CBO9780511989421
ISBN:	9780511989421

Bioinformatics and computational biology in drug discovery and development
Bioinformatics and computational biology in drug discovery and development[electronic resource] /Bioinformatics & Computational Biology in Drug Discovery & Developmentedited by William T. Loging. - Cambridge :Cambridge University Press,2016. - xi, 233 p. :ill., digital ;24 cm.

Machine generated contents note: Foreword; Preface: the future of drug discovery and health care / Eric Schadt; 1. The art and science of the Drug Discovery Pipeline (DDP) / William T. Loging; 2. Computational approaches to drug target identification / Thomas B. Freeman and Pek Lum; 3. Understanding human disease knowledge through text mining / Raul Rodriguez-Esteban; 4. Integrating translational biomarkers into drug development / Jonathan Phillips; 5. Computational phenotypic assessment of small molecules in drug discovery / William T. Loging and Thomas B. Freeman; 6. Data visualization and the DDP process / Ke Xu; 7. Information visualization - important IT considerations / Telmo Silva; 8. The New Drug Application (NDA) and regulatory approval stages / William T. Loging, Marilyn Lewis, Bryn Williams-Jones and Roy Mansfield; 9. Clinical trial failures and drug repositioning / Mark Crawford and Jeff Handler; Appendix I. Additional knowledge-based analysis approaches / Raul Rodriguez-Esteban; Appendix II. Open source tools and public data sources / Yirong Wang and William T. Loging; Index.

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.

ISBN: 9780511989421Subjects--Topical Terms:

716904
Drug development.

LC Class. No.: RM301.25 / .B56 2016

Dewey Class. No.: 615.19

Bioinformatics and computational biology in drug discovery and development
LDR:02894nmm a2200265 a 4500 001 2182927
003 UkCbUP
005 20160212110006.0
006 m d
007 cr nn 008maaau
008 191203s2016 enk o 1 0 eng d
020 $a 9780511989421 $q (electronic bk.)
020 $a 9780521768009 $q (paper)
035 $a CR9780511989421
040 $a UkCbUP $b eng $c UkCbUP $d GP
041 0 $a eng
050 4 $a RM301.25 $b .B56 2016
082 0 4 $a 615.19 $2 23
090 $a RM301.25 $b .B615 2016
245 0 0 $a Bioinformatics and computational biology in drug discovery and development $h [electronic resource] / $c edited by William T. Loging.
246 3 $a Bioinformatics & Computational Biology in Drug Discovery & Development
260 $a Cambridge : $b Cambridge University Press, $c 2016.
300 $a xi, 233 p. : $b ill., digital ; $c 24 cm.
505 8 $a Machine generated contents note: Foreword; Preface: the future of drug discovery and health care / Eric Schadt; 1. The art and science of the Drug Discovery Pipeline (DDP) / William T. Loging; 2. Computational approaches to drug target identification / Thomas B. Freeman and Pek Lum; 3. Understanding human disease knowledge through text mining / Raul Rodriguez-Esteban; 4. Integrating translational biomarkers into drug development / Jonathan Phillips; 5. Computational phenotypic assessment of small molecules in drug discovery / William T. Loging and Thomas B. Freeman; 6. Data visualization and the DDP process / Ke Xu; 7. Information visualization - important IT considerations / Telmo Silva; 8. The New Drug Application (NDA) and regulatory approval stages / William T. Loging, Marilyn Lewis, Bryn Williams-Jones and Roy Mansfield; 9. Clinical trial failures and drug repositioning / Mark Crawford and Jeff Handler; Appendix I. Additional knowledge-based analysis approaches / Raul Rodriguez-Esteban; Appendix II. Open source tools and public data sources / Yirong Wang and William T. Loging; Index.
520 $a 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.
650 0 $a Drug development. $3 716904
700 1 $a Loging, William T. $3 3208427
856 4 0 $u https://doi.org/10.1017/CBO9780511989421