Linked Life Data

19799613

Source:http://linkedlifedata.com/resource/pubmed/id/19799613

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2009-10-8
pubmed:abstractText
The cellular fingerprint, a novel in silico screening approach, was developed to identify new biologically active compounds in combination with structural fingerprints. To this end, high-throughput screening (HTS) data from the National Cancer Institute have been used. To validate this method, we have selected the proapoptotic, natural compound betulinic acid (BA). Because of its antiproliferative effect on a variety of cancer cell lines, the identification of novel BA analogs is of great interest. Novel analogs have been identified and validated in different apoptosis assays. In addition, the novel approach exhibited a strong correlation between structural similarity and biological activity, so that it offers enormous potential for the identification of novel biologically active compounds.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
1747-0285
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
74
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
439-48
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Cellular fingerprints: a novel approach using large-scale cancer cell line data for the identification of potential anticancer agents.
pubmed:affiliation
Institute of Physiology, Charité- Universitätsmedizin Berlin, Germany.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't