Critical evaluation of human oral bioavailability for pharmaceutical drugs by using various cheminformatics approaches

Marlene T. Kim, Alexander Sedykh, Suman K. Chakravarti, Roustem D. Saiakhov, Hao Zhu

Research output: Contribution to journalArticlepeer-review

57 Scopus citations

Abstract

Purpose: Oral bioavailability (%F) is a key factor that determines the fate of a new drug in clinical trials. Traditionally, %F is measured using costly and time-consuming experimental tests. Developing computational models to evaluate the %F of new drugs before they are synthesized would be beneficial in the drug discovery process. Methods: We employed Combinatorial Quantitative Structure-Activity Relationship approach to develop several computational %F models. We compiled a %F dataset of 995 drugs from public sources. After generating chemical descriptors for each compound, we used random forest, support vector machine, k nearest neighbor, and CASE Ultra to develop the relevant QSAR models. The resulting models were validated using five-fold cross-validation. Results: The external predictivity of %F values was poor (R2 = 0.28, n = 995, MAE = 24), but was improved (R2 = 0.40, n = 362, MAE = 21) by filtering unreliable predictions that had a high probability of interacting with MDR1 and MRP2 transporters. Furthermore, classifying the compounds according to the %F values (%F < 50% as "low", %F ≥ 50% as 'high") and developing category QSAR models resulted in an external accuracy of 76%. Conclusions: In this study, we developed predictive %F QSAR models that could be used to evaluate new drug compounds, and integrating drug-transporter interactions data greatly benefits the resulting models.

Original languageEnglish (US)
Pages (from-to)1002-1014
Number of pages13
JournalPharmaceutical Research
Volume31
Issue number4
DOIs
StatePublished - Apr 2014
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Molecular Medicine
  • Pharmacology
  • Pharmaceutical Science
  • Organic Chemistry
  • Pharmacology (medical)

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