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Bioinformatics and computational bio...

Loging, William T.

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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.
other author:	Loging, William T.
Published:	Cambridge, United Kingdom :Cambridge University Press, : 2016.,
Description:	1 online resource (244 pages) :$bdigital, PDF file(s).
[NT 15003449]:	Foreword: The future of drug discovery and healthcare / by Eric E. Schadt -- 1. The art and science of the drug discovery pipeline / 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. Example of computational biology at 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.
Subject:	Drugs - Design -
Online resource:	https://doi.org/10.1017/CBO9780511989421
ISBN:	9780521768009

Bioinformatics and computational biology in drug discovery and development
Bioinformatics and computational biology in drug discovery and development[electronic resource] /edited by William T. Loging. - Cambridge, United Kingdom :Cambridge University Press,2016. - 1 online resource (244 pages) :$bdigital, PDF file(s).

Bibliografija pri vseh poglavjih.

Foreword: The future of drug discovery and healthcare / by Eric E. Schadt -- 1. The art and science of the drug discovery pipeline / 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. Example of computational biology at 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.

"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.

ISBN: 9780521768009

Nat. Bib. No.: GBB606245Subjects--Topical Terms:

752557
Drugs
--Design

LC Class. No.: RS420 / .B56 2016

Dewey Class. No.: 615.1/9

Universal Decimal Class. No.: 615

Bioinformatics and computational biology in drug discovery and development
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245 0 0 $a Bioinformatics and computational biology in drug discovery and development $h [electronic resource] / $c edited by William T. Loging.
260 # $a Cambridge, United Kingdom : $b Cambridge University Press, $c 2016.
300 $a 1 online resource (244 pages) :$bdigital, PDF file(s).
504 $a Bibliografija pri vseh poglavjih.
504 $a Kazalo.
505 0 0 $a Foreword: The future of drug discovery and healthcare / by Eric E. Schadt -- 1. The art and science of the drug discovery pipeline / 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. Example of computational biology at 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.
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 # 0 $a Drugs $x Design $x Data processing. $3 752557
650 # 0 $a Computational biology. $3 590653
650 # 0 $a Bioinformatics. $3 553671
650 0 2 $a Drug Discovery $x methods. $3 1305509
650 0 2 $a Computational Biology $x methods. $3 768314
650 0 2 $a Data Mining $x methods. $3 2002479
650 0 2 $a Biomarkers, Pharmacological. $3 1965689
700 1 2 $a Loging, William T. $3 3208427
856 4 0 $u https://doi.org/10.1017/CBO9780511989421