Prediction of the potency of mammalian cyclooxygenase inhibitors with ensemble proteochemometric modeling.

J Cheminform

Département de Biologie Structurale et Chimie, Institut Pasteur, Unité de Bioinformatique Structurale; CNRS UMR 3825, 25, rue du Dr Roux, Paris, 75015 France.

Published: February 2015

AI Article Synopsis

  • Cyclooxygenases (COX) exist in two forms: COX-1, which is always present, and COX-2, which is activated during diseases like cancer and chronic inflammation; NSAIDs are commonly used to inhibit COX but may have side effects.
  • Selective COX-2 inhibitors can provide benefits for specific populations, yet they don't completely eliminate risks like heart issues, indicating a need for safer options.
  • The study utilized ensemble proteochemometric modeling to predict the effectiveness of over 3,200 COX inhibitors on various COX isoforms, showing that combining data from both the compounds and proteins yielded more accurate predictions compared to using one type of data alone.

Article Abstract

Cyclooxygenases (COX) are present in the body in two isoforms, namely: COX-1, constitutively expressed, and COX-2, induced in physiopathological conditions such as cancer or chronic inflammation. The inhibition of COX with non-steroideal anti-inflammatory drugs (NSAIDs) is the most widely used treatment for chronic inflammation despite the adverse effects associated to prolonged NSAIDs intake. Although selective COX-2 inhibition has been shown not to palliate all adverse effects (e.g. cardiotoxicity), there are still niche populations which can benefit from selective COX-2 inhibition. Thus, capitalizing on bioactivity data from both isoforms simultaneously would contribute to develop COX inhibitors with better safety profiles. We applied ensemble proteochemometric modeling (PCM) for the prediction of the potency of 3,228 distinct COX inhibitors on 11 mammalian cyclooxygenases. Ensemble PCM models ([Formula: see text], and RMSEtest = 0.71) outperformed models exclusively trained on compound ([Formula: see text], and RMSEtest = 1.09) or protein descriptors ([Formula: see text] and RMSEtest = 1.10) on the test set. Moreover, PCM predicted COX potency for 1,086 selective and non-selective COX inhibitors with [Formula: see text] and RMSEtest = 0.76. These values are in agreement with the maximum and minimum achievable [Formula: see text] and RMSEtest values of approximately 0.68 for both metrics. Confidence intervals for individual predictions were calculated from the standard deviation of the predictions from the individual models composing the ensembles. Finally, two substructure analysis pipelines singled out chemical substructures implicated in both potency and selectivity in agreement with the literature. Graphical AbstractPrediction of uncorrelated bioactivity profiles for mammalian COX inhibitors with Ensemble Proteochemometric Modeling.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4335128PMC
http://dx.doi.org/10.1186/s13321-014-0049-zDOI Listing

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