title: Multi-targeted natural products evaluation based on biological activity prediction with PASS.
abstract: Natural products found a wide use in folk medicine. Presently, when routine development of new drugs faced a considerable challenge, they become an inspiration and valuable source in drugs discovery. Rather complex and diverse chemical structures of natural compounds provide a basis for modulation of different biological targets. Natural compounds exhibit a multitargeted action that may lead to additive/synergistic or antagonistic effects. Rational design of more safe and potent pharmaceuticals requires an estimation of probable multiple actions of natural products. Our software PASS can perform such estimation. It predicts with reasonable accuracy over 3500 pharmacotherapeutic effects, mechanisms of action, interaction with the metabolic system, and specific toxicity for drug-like molecules on the basis of their structural formulae. We analyzed PASS predictions utilizing PharmaExpert, which performs selection of compounds with multiple mechanisms of action, analysis of activity-activity relationships and drug-drug interactions. The paper describes an application of PASS and PharmaExpert to the evaluation of biological activity of natural compounds including marine sponge alkaloids, triterpenoids of lupane group, and their derivatives. Proposed computer-aided methods can generate combinatorial libraries of macrolides. They help to select the most promising pharmaceutical leads with the required properties. Case study, based on the analysis of biological activity spectra predicted for St John's Wort constituents, clearly demonstrates capabilities of computational methods in the evaluation of multitargeted actions, additive/synergistic and/or antagonistic effects of natural products.
authors.affiliation: Institute of Biomedical Chemistry of Russian Academy Medical Science, Moscow, Russia.
authors.forename: Alexey
authors.initials: A
authors.lastname: Lagunin
authors.forename: Dmitry
authors.initials: D
authors.lastname: Filimonov
authors.forename: Vladimir
authors.initials: V
authors.lastname: Poroikov
mesh_terms: D000470:Alkaloids / Q000494:pharmacology; D000818:Animals; D001688:Biological Products / Q000737:chemistry* / Q000494:pharmacology* / Q000627:therapeutic use; D055808:Drug Discovery / Q000379:methods*; D004347:Drug Interactions; D020902:Hypericum / Q000187:drug effects; D028321:Plant Preparations / Q000737:chemistry / Q000627:therapeutic use; D011161:Porifera / Q000737:chemistry; D012984:Software; D013329:Structure-Activity Relationship; D014315:Triterpenes / Q000494:pharmacology
chemical_list: D000470:Alkaloids; D001688:Biological Products; D028321:Plant Preparations; D014315:Triterpenes