Cited by 179Computational Drug Discovery MethodsBioactive natural compoundsSynthesis and Characterization of Heterocyclic Compounds

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Multi-Targeted Natural Products Evaluation Based on Biological Activity Prediction with PASS

Lagunin, Alexey, Filimonov, Dmitry, Poroikov, Vladimir·2010·Current Pharmaceutical Design

DOI 10.2174/138161210791164063

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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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Newman, D. J., & Cragg, G. M. (2007) · Journal of Natural Products · doi:10.1021/np068054v · Cited by 5,517
Handbook of Molecular Descriptors
Todeschini, R., & Consonni, V. (2000) · Methods and Principles in Medicinal Chemistry · doi:10.1002/9783527613106 · Cited by 4,107
Natural products in drug discovery
Harvey, A. L. (2008) · Drug Discovery Today · doi:10.1016/j.drudis.2008.07.004 · Cited by 1,844
PASS: prediction of activity spectra for biologically active substances
Lagunin, A. A., Stepanchikova, A. V., Filimonov, D. A., & Poroikov, V. (2000) · Bioinformatics · doi:10.1093/bioinformatics/16.8.747 · Cited by 1,164
Self-citation
Dictionary of Natural Products
(1995) · Springer eBooks · doi:10.1007/978-1-4899-3316-4 · Cited by 730
Natural Products as Leads to Potential Drugs: An Old Process or the New Hope for Drug Discovery?
Newman, D. J. (2008) · Journal of Medicinal Chemistry · doi:10.1021/jm0704090 · Cited by 717
Meyler's Side Effects of Drugs
Breckenridge, A. (1976) · BMJ · doi:10.1136/bmj.2.6030.307 · Cited by 692
Macrolide antibiotics. Chemistry, biology, and practice
Nagel, A. A. (1985) · Journal of Pharmaceutical Sciences · doi:10.1002/jps.2600740930 · Cited by 476
Natural Product-likeness Score and Its Application for Prioritization of Compound Libraries
Ertl, P., Roggo, S. P., & Schuffenhauer, A. (2007) · Journal of Chemical Information and Modeling · doi:10.1021/ci700286x · Cited by 395
Current Status of Herbal Drugs in India: An Overview
Vaidya, A. D. B., & Devasagayam, T. P. A. (2007) · Journal of Clinical Biochemistry and Nutrition · doi:10.3164/jcbn.2007001 · Cited by 299

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Authors: Lagunin, A., Filimonov, D., & Poroikov, V.
Affiliations: Institute of Biomedical Chemistry (RU)
ORCID: Lagunin, Alexey
Filimonov, Dmitry
Poroikov, Vladimir
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)
DOI: 10.2174/138161210791164063
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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Multi-Targeted Natural Products Evaluation Based on Biological Activity Prediction with PASS

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