Bisphosphonate inhibition of a Plasmodium farnesyl diphosphate synthase and a general method for predicting cell-based activity from enzyme data

Dushyant Mukkamala, Hwan No Joo, Lauren M. Cass, Ting Kai Chang, Eric Oldfield

Research output: Contribution to journalArticlepeer-review

Abstract

We screened 26 bisphosphonates against a farnesyl diphosphate synthase from Plasmodium vivax, finding a poor correlation between enzyme and cell growth inhibition (R2 = 0.06). To better predict cell activity data, we then used a combinatorial descriptor search in which pIC50(cell) = a pIC50(enzyme) + bB + cC + d, where B and C are descriptors (such as SlogP), and a-d are coefficients. R2 increased from 0.01 to 0.74 (for a leave-two-out test set of 26 predictions). The method was then further validated using data for nine other systems, including bacterial, viral, and mammalian cell systems. On average, experimental/predicted cell pIC50 correlations increased from R2 = 0.28 (for an enzyme-only test set) to 0.70 (for enzyme plus two descriptor test set predictions), while predictions based on scrambled cell activity had no predictive value (R2 = 0.13). These results are of interest since they represent a general way to predict cell from enzyme inhibition data, with in three cases, R2 values increasing from ∼0.02 to 0.72.

Original languageEnglish (US)
Pages (from-to)7827-7833
Number of pages7
JournalJournal of Medicinal Chemistry
Volume51
Issue number24
DOIs
StatePublished - Dec 25 2008

ASJC Scopus subject areas

  • Molecular Medicine
  • Drug Discovery

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