Structure-guided approach identifies a novel class of HIV-1 ribonuclease H inhibitors: binding mode insights through magnesium complexation and site-directed mutagenesis studies
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Updated: Feb 6, 2026

Measurement of In Vitro Integration Activity of HIV-1 Preintegration Complexes
Published on: February 22, 2017
Vasanthanathan Poongavanam1, Angela Corona2, Casper Steinmann1
1Department of Physics , Chemistry and Pharmacy , University of Southern Denmark , DK-5230 Odense M , Denmark . Email: nobelvasanth@gmail.com ;
Abstract:
Persistent HIV infection requires lifelong treatment and among the 2.1 million new HIV infections that occur every year there is an increased rate of transmitted drug-resistant mutations. This fact requires a constant and timely effort in order to identify and develop new HIV inhibitors with innovative mechanisms. The HIV-1 reverse transcriptase (RT) associated ribonuclease H (RNase H) is the only viral encoded enzyme that still lacks an efficient inhibitor despite the fact that it is a well-validated target whose functional abrogation compromises viral infectivity. Identification of new drugs is a long and expensive process that can be speeded up by in silico methods. In the present study, a structure-guided screening is coupled with a similarity-based search on the Specs database to identify a new class of HIV-1 RNase H inhibitors. Out of the 45 compounds selected for experimental testing, 15 inhibited the RNase H function below 100 μM with three hits exhibiting IC50 values <10 μM. The most active compound, AA, inhibits HIV-1 RNase H with an IC50 of 5.1 μM and exhibits a Mg-independent mode of inhibition. Site-directed mutagenesis studies provide valuable insight into the binding mode of newly identified compounds; for instance, compound AA involves extensive interactions with a lipophilic pocket formed by Ala502, Lys503, and Trp (406, 426 and 535) and polar interactions with Arg557 and the highly conserved RNase H primer-grip residue Asn474. The structural insights obtained from this work provide the bases for further lead optimization.
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