Linked Life Data

19371030

Source:http://linkedlifedata.com/resource/pubmed/id/19371030

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2009-6-29
pubmed:abstractText
A database has been derived from recently reported [60]fullerene derivatives, and their binding scores with HIV-1 PR have been computed using docking techniques. Computational methods have been used to predict which derivatives may have high binding affinities, and for these compounds biological tests have been performed with purified PR. Experimental results confirm the high binding scores of fullerene derivatives predicted from the docking calculations. Our measurements showed that the fullerene derivative (Fmoc-Baa) has about three times better inhibitory binding (K(i) = 36 nM) than the most active fullerene-based inhibitor (K(i) = 103 nM) currently available.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
1549-9596
pubmed:author
pubmed:issnType
Print
pubmed:volume
49
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1139-43
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
In silico drug screening approach for the design of magic bullets: a successful example with anti-HIV fullerene derivatized amino acids.
pubmed:publicationType
Letter, Research Support, Non-U.S. Gov't