Default Theme

Bioinformatics and computational biology in drug discovery and development / edited by William T. Loging.

Call Number	615.1/9
Title	Bioinformatics and computational biology in drug discovery and development / edited by William T. Loging. Bioinformatics & Computational Biology in Drug Discovery & Development
Physical Description	1 online resource (xi, 233 pages) : digital, PDF file(s).
Notes	Title from publisher's bibliographic system (viewed on 05 Feb 2016).
Contents	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.
Summary	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 Through the use of previously unpublished, real-life case studies the impact of a range of computational approaches are discussed at various phases of the pipeline.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.
Added Author	Loging, William T., editor.
Subject	Drug development.
Multimedia	https://doi.org/10.1017/CBO9780511989421

Total Ratings: 0

Copies
MARC Record
Reviews
Details


No records found to display.

03298nam a22003618i 4500

001

vtls001584794

003

VRT

005

20200921122100.0

006

m|||||o||d||||||||

007

cr||||||||||||

008

200921s2016||||enk o ||1 0|eng|d

020

$a 9780511989421 (ebook)

020

$z 9780521768009 (hardback)

035

$a (UkCbUP)CR9780511989421

039

$y 202009211221 $z santha

040

$a UkCbUP $b eng $e rda $c UkCbUP

050

$a RM301.25 $b .B56 2016

082

$a 615.1/9 $2 23

245

$a Bioinformatics and computational biology in drug discovery and development / $c edited by William T. Loging.

246

$a Bioinformatics & Computational Biology in Drug Discovery & Development

264

$a Cambridge : $b Cambridge University Press, $c 2016.

300

$a 1 online resource (xi, 233 pages) : $b digital, PDF file(s).

336

$a text $b txt $2 rdacontent

337

$a computer $b c $2 rdamedia

338

$a online resource $b cr $2 rdacarrier

500

$a Title from publisher's bibliographic system (viewed on 05 Feb 2016).

505

$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

$a Drug development.

700

$a Loging, William T., $e editor.

776

$i Print version: $z 9780521768009

856

$u https://doi.org/10.1017/CBO9780511989421

999

$a VIRTUA

No Reviews to Display

Summary	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.
Notes	Title from publisher's bibliographic system (viewed on 05 Feb 2016).
Contents	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.
Multimedia	https://doi.org/10.1017/CBO9780511989421