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[Computer search for novel HIV-1 integrase inhibitors].

Authors :
Akimov DV
Filimonov DA
Prikazchikova TA
Gottikh MB
Poroĭkov VV
Source :
Biomeditsinskaia khimiia [Biomed Khim] 2005 May-Jun; Vol. 51 (3), pp. 335-40.
Publication Year :
2005

Abstract

HIV-1 integrase is the third enzyme essential for viral replication. It represents an attractive target for new anti-HIV drugs. Diketo acids represent the most prospective class of integrase inhibitors; one of them (S1360) is currently under clinical trials. We prepared the training set containing 90 diketoacid derivatives and performed re-training of computer program PASS. Average accuracy of prediction in LOO cross-validation for HIV-1 integrase inhibitors was shown to be 99%. We selected eight new potential HIV-1 integrase inhibitors among about the 700,000 substances from the databases of commercially available chemicals; anti-integrase activity was found experimentally in two selected compounds.

Details

Language :
Russian
ISSN :
2310-6972
Volume :
51
Issue :
3
Database :
MEDLINE
Journal :
Biomeditsinskaia khimiia
Publication Type :
Academic Journal
Accession number :
16104397