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Prediction of biological activity profiles of cyanobacterial secondary metabolites
Over the past decade cyanobacteria have become an interesting source of new classes of pharmacologically active natural products. Some cyanobacterial secondary metabolites (CSMs) are also well known for their toxic effects on living species. The PASS (Prediction of Activity Spectra for Substances) c...
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Published in: | SAR and QSAR in environmental research 2007-10, Vol.18 (7-8), p.629-643 |
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container_issue | 7-8 |
container_start_page | 629 |
container_title | SAR and QSAR in environmental research |
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creator | Devillers, J. Doré, J. C. Guyot, M. Poroikov, V. Gloriozova, T. Lagunin, A. Filimonov, D. |
description | Over the past decade cyanobacteria have become an interesting source of new classes of pharmacologically active natural products. Some cyanobacterial secondary metabolites (CSMs) are also well known for their toxic effects on living species. The PASS (Prediction of Activity Spectra for Substances) computer program, which is able to simultaneously predict more than one thousand biological and toxicological activities from only the structural formulas of the chemicals, was used to predict the biological activity profile of 681 CSMs. Multivariate methods were employed to structure and analyse this wealth of biological and chemical information. PASS predictions were successfully compared to the available information on the pharmacological and toxicological activity of these compounds. |
doi_str_mv | 10.1080/10629360701698704 |
format | article |
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PASS predictions were successfully compared to the available information on the pharmacological and toxicological activity of these compounds.</description><identifier>ISSN: 1062-936X</identifier><identifier>EISSN: 1029-046X</identifier><identifier>DOI: 10.1080/10629360701698704</identifier><identifier>PMID: 18038364</identifier><language>eng</language><publisher>England: Taylor & Francis Group</publisher><subject>Biological Products - chemistry ; Biological Products - isolation & purification ; Biological Products - pharmacology ; Cyanobacteria ; Cyanobacteria - chemistry ; Cyanobacteria - metabolism ; Forecasting - methods ; Molecular Structure ; Multivariate analyses ; Noncongeneric SAR ; PASS program ; Secondary metabolites ; Software ; Structure-Activity Relationship</subject><ispartof>SAR and QSAR in environmental research, 2007-10, Vol.18 (7-8), p.629-643</ispartof><rights>Copyright Taylor & Francis Group, LLC 2007</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c466t-6fab7473c63786b8573deb688b45a3db553fdc7d446c8d91e3e065a42575ab893</citedby><cites>FETCH-LOGICAL-c466t-6fab7473c63786b8573deb688b45a3db553fdc7d446c8d91e3e065a42575ab893</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18038364$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Devillers, J.</creatorcontrib><creatorcontrib>Doré, J. 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PASS predictions were successfully compared to the available information on the pharmacological and toxicological activity of these compounds.</description><subject>Biological Products - chemistry</subject><subject>Biological Products - isolation & purification</subject><subject>Biological Products - pharmacology</subject><subject>Cyanobacteria</subject><subject>Cyanobacteria - chemistry</subject><subject>Cyanobacteria - metabolism</subject><subject>Forecasting - methods</subject><subject>Molecular Structure</subject><subject>Multivariate analyses</subject><subject>Noncongeneric SAR</subject><subject>PASS program</subject><subject>Secondary metabolites</subject><subject>Software</subject><subject>Structure-Activity Relationship</subject><issn>1062-936X</issn><issn>1029-046X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><recordid>eNqFkFtLAzEQhYMotlZ_gC-yf2B1sskmWfBFijcoKKLQtyW3lch2U5J42X9vSgs-iPg0w5zzDYeD0CmGcwwCLjCwqiEMOGDWCA50D00xVE0JlC33NzurymxYTtBRjG8AIAjwQzTBAoggjE7R02Owxunk_FD4rlDO9_7VadkXMh8_XBqLdfCd623c6HqUg1dZssFlT7TaD0aGsVjZJJXvXbLxGB10so_2ZDdn6OXm-nl-Vy4ebu_nV4tSU8ZSyTqpOOVEM8IFU6LmxFjFhFC0lsSouiad0dxQyrQwDbbEAqslrWpeSyUaMkN4-1cHH2OwXbsObpXDtBjaTT_tr34yc7Zl1u9qZc0PsSskG_jW4IbOh5X89KE3bZJj70MX5KBd_P22TV8pk5f_kuTvZN-2wYck</recordid><startdate>20071001</startdate><enddate>20071001</enddate><creator>Devillers, J.</creator><creator>Doré, J. 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source | Taylor and Francis Science and Technology Collection |
subjects | Biological Products - chemistry Biological Products - isolation & purification Biological Products - pharmacology Cyanobacteria Cyanobacteria - chemistry Cyanobacteria - metabolism Forecasting - methods Molecular Structure Multivariate analyses Noncongeneric SAR PASS program Secondary metabolites Software Structure-Activity Relationship |
title | Prediction of biological activity profiles of cyanobacterial secondary metabolites |
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