Article (Scientific journals)
Computational methods for the design of effective therapies against drug resistant HIV strains
Beerenwinkel, N.; Sing, T.; Lengauer, T. et al.
2005In Bioinformatics, 21 (21), p. 3943-50
Peer reviewed
 

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Keywords :
Viral Vaccines/ administration & dosage/ genetics; Databases, Factual; Drug Design; Drug Information Services; Drug Resistance, Viral/drug effects/genetics; Drug Therapy, Computer-Assisted/ methods; Gene Therapy; HIV Infections/ drug therapy; Humans; Database Management Systems
Abstract :
[en] Summary: The development of drug resistance is a major obstacle to successful treatment of HIV infection. The extraordinary replication dynamics of HIV facilitates its escape from selective pressure exerted by the human immune system and by combination drug therapy. We have developed several computational methods whose combined use can support the design of optimal antiretroviral therapies based on viral genomic data.
Disciplines :
Life sciences: Multidisciplinary, general & others
Identifiers :
UNILU:UL-ARTICLE-2010-699
Author, co-author :
Beerenwinkel, N.
Sing, T.
Lengauer, T.
Rahnenführer
ROOMP, Kirsten  ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Savenkov, I.
Fischer, R.
Hoffmann, D.
Selbig, J.
Korn, K.
Walter, H.
Berg, T.
Braun, P.
Fätkenheuer
Oette, M.
Rockstroh, J.
Kupfer, B.
Kaiser, R.
Däumer
More authors (9 more) Less
External co-authors :
yes
Language :
English
Title :
Computational methods for the design of effective therapies against drug resistant HIV strains
Publication date :
2005
Journal title :
Bioinformatics
ISSN :
1367-4803
eISSN :
1460-2059
Publisher :
Oxford University Press - Journals Department, Oxford, United Kingdom
Volume :
21
Issue :
21
Pages :
3943-50
Peer reviewed :
Peer reviewed
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