Journal of Medicinal Chemistry · 2008 · 43 citations · 29 references
Life SciencesBiochemistryPharmacologyComputational BiologyDrug DiscoveryEnzymologyEnzyme CharacterizationEnzyme DiscoveryEnzyme InhibitionEnzyme KineticsEnzyme ScreeningSmall-molecule ScreeningCombinatorial SearchDescriptor MatchingEnzyme Activity PredictionFarnesyl Diphosphate SynthaseHigh-throughput Screening DatabasesInhibition ConstantsInhibitor ScreeningPlasmodium Vivax
We screened 26 bisphosphonates against a farnesyl diphosphate synthase from Plasmodium vivax, finding a poor correlation between enzyme and cell growth inhibition (R(2) = 0.06). To better predict cell activity data, we then used a combinatorial descriptor search in which pIC(50)(cell) = a pIC(50)(enzyme) + bB + cC + d, where B and C are descriptors (such as SlogP), and a-d are coefficients. R(2) 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 pIC(50) correlations increased from R(2) = 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 (R(2) = 0.13). These results are of interest since they represent a general way to predict cell from enzyme inhibition data, with in three cases, R(2) values increasing from approximately 0.02 to 0.72.
29
James E. Dunford, Keith Thompson, Fraser P. Coxon et al. · Journal of Pharmacology and Experimental Therapeutics · 2001 · 896 citations