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Bioinformatics and computational biology in drug discovery and development /

"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 pr...

Deskribapen osoa

Xehetasun bibliografikoak
Beste egile batzuk: Loging, William T. (Argitaratzailea)
Formatua: Printed Book
Hizkuntza:English
Gaiak:
LEADER 03124cam a22002898i 4500
008 151022s2016 enk b 001 0 eng
010 |a  2015041412 
020 |a 9780521768009 (hardback)  |c UKP 44.99 
035 |a (DNLM)101670855 
042 |a pcc 
060 1 0 |a QV 745 
082 0 0 |a 615.1/9  |2 23 
245 0 0 |a Bioinformatics and computational biology in drug discovery and development /  |c edited by William T. Loging. 
263 |a 1601 
300 |a p. ;  |c cm. 
504 |a Includes bibliographical references and index. 
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 Through the use of previously unpublished, real-life case studies the impact of a range of computational approaches are discussed at various phases of the pipeline.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"--Provided by publisher. 
650 1 2 |a Drug Discovery  |x methods. 
650 2 2 |a Biomarkers, Pharmacological. 
650 2 2 |a Computational Biology  |x methods. 
650 2 2 |a Data Mining  |x methods. 
700 1 |a Loging, William T.,  |e editor. 
906 |a 7  |b cbc  |c orignew  |d 1  |e ecip  |f 20  |g y-gencatlg 
942 |c BK 
999 |c 153007  |d 153007 
952 |0 0  |1 0  |4 0  |6 615_190000000000000_LOG_B  |7 0  |9 163576  |a BIO  |b BIO  |c ST1  |d 2017-04-26  |e The Bookshop, Publication Division, University of Calicut.  |g 2974.74  |i 2189  |l 0  |o 615.19 LOG/ B  |p BIO2189  |r 2017-04-26  |v 3914.13  |w 2017-04-26  |y BK