• DocumentCode
    77044
  • Title

    Sculpting drugs [Medicine Computer Modelling]

  • Author

    Saint, Amanda

  • Volume
    9
  • Issue
    8
  • fYear
    2014
  • fDate
    Sept. 2014
  • Firstpage
    80
  • Lastpage
    83
  • Abstract
    We now live in a ´Big Data´ world and computational modelling of biological data, or computational biology, is seeing new approaches, developments and revelations in the way we discover, deliver and understand the effect of drugs. Although Pfizer has withdrawn its takeover bid for AstraZeneca, the progress that it has made in its cancer immunotherapy research using computational biology was one of the key reasons that Pfizer was interested. It´s also a very big part of why AstraZeneca was able to resist the takeover bid. Computational biology has come on in leaps and bounds in the past few years as supercomputing and biomedical data have combined to great effect to improve our understanding of a range of things from how the body will react to drugs to why natural substances such as green tea are good for us, and also to reveal the links between certain games and diseases.
  • Keywords
    drugs; pharmaceutical industry; pharmaceutical technology; product development; AstraZeneca; Pfizer; biomedical data; cancer immunotherapy research; computational biology; sculpting drugs; supercomputing;
  • fLanguage
    English
  • Journal_Title
    Engineering & Technology
  • Publisher
    iet
  • ISSN
    1750-9637
  • Type

    jour

  • DOI
    10.1049/et.2014.0812
  • Filename
    6905649