A characterization of molecular similarity methods for property prediction

Mark Johnson, Subhash Basak, Gerald Maggiora

Research output: Contribution to journalArticle

48 Scopus citations

Abstract

Molecular similarity methods are providing new tools for searching molecular databases, selecting compounds for drug screening, predicting molecular properties and modeling drug receptor sites (Johnson et al., 1987; Maggiora et al., 1987). This paper positions these methods amongst the more traditional a priori and algebraic methods for predicting property values and for finding a compound with a desired property value. Instances where these methods may complement each other are also noted.

Original languageEnglish (US)
Pages (from-to)630-634
Number of pages5
JournalMathematical and Computer Modelling
Volume11
Issue numberC
DOIs
StatePublished - 1988

Keywords

  • Molecular similarity
  • chemical description space
  • nearest neighbor prediction
  • property prediction
  • response surfaces

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