Transforming data into knowledge for intelligent decision-making in early drug discovery

Leiden Repository

Transforming data into knowledge for intelligent decision-making in early drug discovery

Type: Doctoral Thesis
Title: Transforming data into knowledge for intelligent decision-making in early drug discovery
Author: Paricharak, S.A.
Issue Date: 2017-02-09
Keywords: Bioactivity modeling
Proteochemometric modeling
High-throughput screening
Machine learning
Chemical space
Abstract: This thesis describes various analyses of life science data with the aim of achieving efficiency gains in future experimental campaigns geared toward discovering drugs, and gaining novel insights into compound mode-of-action (i.e., the protein target modulated for the desired phenotypic effect). The increase in publicly available life science data has created opportunities for bioactivity modeling, and the role cheminformatics and bioinformatics play in the latter is discussed in detail.
Promotor: Supervisor: A.P.IJzerman Co-Supervisor: A. Bender
Faculty: Science
University: Leiden
Uri: urn:isbn:9783033060234
Handle: http://hdl.handle.net/1887/45874
 

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application/pdf Chapter 1 General introduction 376.6Kb View/Open
application/pdf Chapter 2 946.9Kb View/Open
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application/pdf Chapter 7 General conclusions 700.9Kb View/Open
application/pdf Summary 201.1Kb View/Open
application/pdf Summary in Dutch 202.0Kb View/Open
application/pdf List of publica ... lum Vitae_Acknowledgements 229.4Kb View/Open
application/pdf Propositions 144.5Kb View/Open

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