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Journal of Virology, August 2005, p. 10718-10729, Vol. 79, No. 16
0022-538X/05/$08.00+0 doi:10.1128/JVI.79.16.10718-10729.2005
Copyright © 2005, American Society for Microbiology. All Rights Reserved.
Department of Experimental Medicine, University of Rome "Tor Vergata," Rome,1 National Institute for Infectious Diseases, "L. Spallanzani," Rome,3 Istituto Superiore di Sanità, Rome,4 Institute of Infectious and Tropical Diseases, University of Milan, Milan, Italy,5 Department of Pharmacology, University of Alcalá, Alcala de Henares, Spain,2 Rega Institute for Medical Research, K. U. Leuven, Leuven, Belgium6
Received 22 March 2005/ Accepted 19 May 2005
To define the extent of sequence conservation in human immunodeficiency virus type 1 (HIV-1) reverse transcriptase (RT) in vivo, the first 320 amino acids of RT obtained from 2,236 plasma-derived samples from a well-defined cohort of 1,704 HIV-1-infected individuals (457 drug naïve and 1,247 drug treated) were analyzed and examined in structural terms. In naïve patients, 233 out of these 320 residues (73%) were conserved (<1% variability). The majority of invariant amino acids clustered into defined regions comprising between 5 and 29 consecutive residues. Of the nine longest invariant regions identified, some contained residues and domains critical for enzyme stability and function. In patients treated with RT inhibitors, despite profound drug pressure and the appearance of mutations primarily associated with resistance, 202 amino acids (63%) remained highly conserved and appeared mostly distributed in regions of variable length. This finding suggests that participation of consecutive residues in structural domains is strictly required for cooperative functions and sustainability of HIV-1 RT activity. Besides confirming the conservation of amino acids that are already known to be important for catalytic activity, stability of the heterodimer interface, and/or primer/template binding, the other 62 new invariable residues are now identified and mapped onto the three-dimensional structure of the enzyme. This new knowledge could be of help in the structure-based design of novel resistance-evading drugs.
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