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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 Through the use of previously unpublished,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.
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 Through the use of previously unpublished,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.
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