Linked Life Data

19602433

Source:http://linkedlifedata.com/resource/pubmed/id/19602433

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
7
pubmed:dateCreated
2009-10-2
pubmed:abstractText
Bioinformatics and traditional medicine can be used in discovery and design of novel candidate drugs to efficient cancer chemotherapy. In this study, similarity search tools employed to screen and introduce novel herbs with antitumor property. Several novel herbs have been selected by using logical computational algorithms and assayed on six cancerous cell lines. Complementary assays involved hemolytic and antifungal MIC tests have been performed to determine selectivity and their biocompatibility with RBC of herbal extracts. Final findings may point at selective activity of herbal extracts Rheum ribes, Ficus bengalensis, Morus alba, Musa sapientum, Arnebia decumbens, Citrus limon, Fraxinus excelsior, Rumex acetosella, Arnebia echioides in inducing cytotoxicity on cancerous cell lines. In the present research, in vitro results confirmed predicted findings from our in silico work. Complementary assays including antifungal MIC and hemolytic tests were carried out also to determine selectivity of herbal extracts. Findings resulted from hemolytic test showed that candidate herbal extracts did not induce hemolysis similar to negative control, also antifungal test results indicated that six herbal extracts had antifungal activity in concentration of 250 microg/ml.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
1879-3177
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
23
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1412-21
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Cheminformatics based selection and cytotoxic effects of herbal extracts.
pubmed:affiliation
Drug Discovery and Bioinformatics Group, Medical Biotechnology Department, Biotechnology Research Center, Pasteur Institute of Iran, Pasteur Avenue, Tehran 13164, Iran. ssardari@hotmail.com
pubmed:publicationType
Journal Article