Proteomic maps-toxicity relationship of halocarbons studied with similarity index and genetic algorithm

Marjan Vračko, Subhash C. Basak, Kevin Geiss, Frank Witzmann

Research output: Contribution to journalArticle

17 Scopus citations

Abstract

In this work we analyzed proteomic maps obtained from hepatocytes, which were treated with 14 halocarbons. A similarity index was introduced as a robust measure of similarity between two maps or between two selections of spots within the maps. A searching algorithm was used to identify the spots that may play an important role in toxicity mechanism. The highest correlation coefficients obtained between the similarity index and biological parameter were larger than 0.9.

Original languageEnglish (US)
Pages (from-to)130-136
Number of pages7
JournalJournal of Chemical Information and Modeling
Volume46
Issue number1
DOIs
StatePublished - Jan 1 2006

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ASJC Scopus subject areas

  • Chemistry(all)
  • Chemical Engineering(all)
  • Computer Science Applications
  • Library and Information Sciences

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