Even in the late era of highly effective antiretroviral treatments, detection of CWR, particularly if extended to all three drug classes is related to poorer clinical outcome and represents a risk-marker of disease progression and death.
Amino acid conservation in HIV PR can be minimally present in 45 residues out of 99. Identification of these invariable residues, with crucial roles in dimer stability, protein flexibility and catalytic activity, and their mapping on the three-dimensional structure of the enzyme will help guide the design of novel resistance-evading drugs.
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 resistanceevading drugs.
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