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Assessment of the Potential Biological Activity of Low Molecular Weight Metabolites of Freshwater Macrophytes with QSAR
- Source :
- Scientifica, Scientifica, Vol 2016 (2016)
- Publication Year :
- 2016
- Publisher :
- Hindawi Publishing Corporation, 2016.
-
Abstract
- The paper focuses on the assessment of the spectrum of biological activities (antineoplastic, anti-inflammatory, antifungal, and antibacterial) with PASS (Prediction of Activity Spectra for Substances) for the major components of three macrophytes widespread in the Holarctic species of freshwater, emergent macrophyte with floating leaves,Nuphar lutea(L.) Sm., and two species of submergent macrophyte groups,Ceratophyllum demersumL. andPotamogeton obtusifolius(Mert. et Koch), for the discovery of their ecological and pharmacological potential. The predicted probability of anti-inflammatory or antineoplastic activities above 0.8 was observed for twenty compounds. The same compounds were also characterized by high probability of antifungal and antibacterial activity. Six metabolites, namely, hexanal, pentadecanal, tetradecanoic acid, dibutyl phthalate, hexadecanoic acid, and manool, were a part of the major components of all three studied plants, indicating their high ecological significance and a certain universalism in their use by various species of water plants for the implementation of ecological and biochemical functions. This report underlines the role of identified compounds not only as important components in regulation of biochemical and metabolic pathways and processes in aquatic ecological systems, but also as potential pharmacological agents in the fight against different diseases.
- Subjects :
- biology
Article Subject
lcsh:R
Potamogeton obtusifolius
lcsh:Medicine
Biological activity
Ceratophyllum demersum
biology.organism_classification
Macrophyte
Metabolic pathway
Aquatic plant
Botany
lcsh:Q
General Agricultural and Biological Sciences
Nuphar lutea
Antibacterial activity
lcsh:Science
General Environmental Science
Research Article
Subjects
Details
- Language :
- English
- ISSN :
- 2090908X
- Volume :
- 2016
- Database :
- OpenAIRE
- Journal :
- Scientifica
- Accession number :
- edsair.doi.dedup.....999b1fbd1e844a472e8fd3dd307a30d2