The DOI matches its Crossref record; 59 of the 60 references it cites were found in a registry or an index.
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.
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“This often generates beneficial therapeutic activities,102 due to additive or synergistic pharmacological effects.103”
From QSAR without borders (2020) · cites this paper as [103]
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Cites
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Filimonov, D. A., Lagunin, A. A., Gloriozova, T. A., Rudik, A. V., Druzhilovskiy, D. S., Pogodin, P. V., & Poroikov, V. (2014) · Chemistry of Heterocyclic Compounds · doi:10.1007/s10593-014-1496-1 · Cited by 1,359
Self-citationCounting on natural products for drug design
Rodrigues, T., Reker, D., Schneider, P., & Schneider, G. (2016) · Nature Chemistry · doi:10.1038/nchem.2479 · Cited by 1,250
Muratov, E. N., Bajorath, J., Sheridan, R. P., Tetko, I. V., Filimonov, D., Poroikov, V., Oprea, T. I., Baskin, I. I., Varnek, A., Roitberg, A., et al. (2020) · Chemical Society Reviews · doi:10.1039/d0cs00098a · Cited by 913
Self-citationArtificial intelligence for natural product drug discovery
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Metadata
- Authors
- Lagunin, A., Filimonov, D., & Poroikov, V.
- Affiliations
- Institute of Biomedical Chemistry (RU)
- Venue
- Current Pharmaceutical Design
- Publisher
- Bentham Science Publishers Ltd.
- Published
- 2010-05-01
- Volume
- 16
- Issue
- 15
- Pages
- 1703-1717
- ISSN
- 1381-6128 (ISSN-L)
- OpenAlex
- W2027991790
- Cited by
- 179
- References
- 60
- Citations by year
- 2026: 16 · 2025: 19 · 2024: 11 · 2023: 11 · 2022: 13 · 2021: 11 · 2020: 7 · 2019: 12 · 2018: 9 · 2017: 13 · 2016: 11 · 2015: 13 · 2014: 17 · 2013: 8 · 2012: 3
- FWCI
- 5.26
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Current Pharmaceutical Design (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Drug Discovery › Computational Drug Discovery Methods
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Drug Discovery › Bioactive natural compounds
- Physical Sciences › Chemistry › Organic Chemistry › Synthesis and Characterization of Heterocyclic Compounds
- Keywords
- PASS software, bioactivity prediction, marine sponge alkaloids, lupane triterpenoids, macrolides, drug-drug interactions, synergistic and antagonistic effects, drug discovery, structure-activity relationship
- MeSH terms
- Alkaloids, Animals, Biological Products, Drug Interactions, Porifera, Software, Structure-Activity Relationship, Triterpenes, Hypericum, Plant Preparations, Drug Discovery
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