Data Mining in Drug Discovery

Bibliographic Details
Title: Data Mining in Drug Discovery
Description: Written for drug developers rather than computer scientists, this monograph adopts a systematic approach to mining scientifi c data sources, covering all key steps in rational drug discovery, from compound screening to lead compound selection and personalized medicine. Clearly divided into four sections, the first part discusses the different data sources available, both commercial and non-commercial, while the next section looks at the role and value of data mining in drug discovery. The third part compares the most common applications and strategies for polypharmacology, where data mining can substantially enhance the research effort. The final section of the book is devoted to systems biology approaches for compound testing. Throughout the book, industrial and academic drug discovery strategies are addressed, with contributors coming from both areas, enabling an informed decision on when and which data mining tools to use for one's own drug discovery project.
Authors: Rémy D. Hoffmann, Arnaud Gohier, Pavel Pospisil
Resource Type: eBook.
Subjects: Drug development--Computer simulation, Data mining, Drugs--Research
Categories: MEDICAL / Pharmacology
Database: eBook Index
FullText Text:
  Availability: 0
Header DbId: edsebk
DbLabel: eBook Index
An: 643990
RelevancyScore: 912
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 912.106750488281
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Data Mining in Drug Discovery
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Written for drug developers rather than computer scientists, this monograph adopts a systematic approach to mining scientifi c data sources, covering all key steps in rational drug discovery, from compound screening to lead compound selection and personalized medicine. Clearly divided into four sections, the first part discusses the different data sources available, both commercial and non-commercial, while the next section looks at the role and value of data mining in drug discovery. The third part compares the most common applications and strategies for polypharmacology, where data mining can substantially enhance the research effort. The final section of the book is devoted to systems biology approaches for compound testing. Throughout the book, industrial and academic drug discovery strategies are addressed, with contributors coming from both areas, enabling an informed decision on when and which data mining tools to use for one's own drug discovery project.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Rémy+D%2E+Hoffmann%22">Rémy D. Hoffmann</searchLink><br /><searchLink fieldCode="AR" term="%22Arnaud+Gohier%22">Arnaud Gohier</searchLink><br /><searchLink fieldCode="AR" term="%22Pavel+Pospisil%22">Pavel Pospisil</searchLink>
– Name: TypePub
  Label: Resource Type
  Group: TypPub
  Data: eBook.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Drug+development--Computer+simulation%22">Drug development--Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Data+mining%22">Data mining</searchLink><br /><searchLink fieldCode="DE" term="%22Drugs--Research%22">Drugs--Research</searchLink>
– Name: SubjectBISAC
  Label: Categories
  Group: Su
  Data: <searchLink fieldCode="ZK" term="%22MEDICAL+%2F+Pharmacology%22">MEDICAL / Pharmacology</searchLink>
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=643990
RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 615.102856312
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Drug development--Computer simulation
        Type: general
      – SubjectFull: Data mining
        Type: general
      – SubjectFull: Drugs--Research
        Type: general
    Titles:
      – TitleFull: Data Mining in Drug Discovery
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Rémy D. Hoffmann
      – PersonEntity:
          Name:
            NameFull: Arnaud Gohier
      – PersonEntity:
          Name:
            NameFull: Pavel Pospisil
      – PersonEntity:
          Name:
            NameFull: Rémy D. Hoffmann
      – PersonEntity:
          Name:
            NameFull: Arnaud Gohier
      – PersonEntity:
          Name:
            NameFull: Pavel Pospisil
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2014
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9783527329847
            – Type: isbn-electronic
              Value: 9783527656011
            – Type: isbn-electronic
              Value: 9783527656004
          Numbering:
            – Type: volume
              Value: 00057
          Titles:
            – TitleFull: Data Mining in Drug Discovery
              Type: main
ResultId 1