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Visualising interaction effects
Author(s) -
Woodward Phil,
Whitlock Mark
Publication year - 2004
Publication title -
significance
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.123
H-Index - 21
eISSN - 1740-9713
pISSN - 1740-9705
DOI - 10.1111/j.1740-9713.2004.00011.x
Subject(s) - computer science , drug discovery , data science , graph , bioinformatics , theoretical computer science , biology
In drug discovery, statisticians often work with biologists and chemists to uncover relationships between the various chemical properties and the biological effects of compounds. The aim is to “design” drugs that have exactly the desired pharmaceutical effects. Phil Woodward and Mark Whitlock of Pfizer Global R&D show how a graph can uncover deeply hidden relationships and guide chemists in their efforts to find the next blockbuster drug.