The goal of this proposal is to develop a new strategy that combines experiment and theory for rapidly characterizing the binding modes and activity of small molecules that target flexible RNA receptors and to apply this strategy in the discovery of lead compounds that bind and disrupt the activity of two major HIV RNA drug targets. HIV/AIDS is currently the world's most urgent public health challenge. While antiretroviral therapies have significantly improved the prognosis for HIV infection, there is a growing need for antiviral agents that target new viral components and thereby further suppress the rate of replication and resistance. Genomes of all RNA viruses, such as HIV, contain essential RNA structures that can widen drug-targets making it possible to inhibit new steps in the viral life cycle for which we do not currently have druggable protein targets. Efforts to find small molecules that target regulatory RNAs have been hindered by lack of suitable methods for efficiently screening RNAs that lack the necessary readout enzymatic activity. Computational docking methods can, in principle, overcome many of the limitations inherent to experimental methods and can provide the structural and dynamical information needed to assess small molecule activity. However, current docking protocols fail to take into account the very large changes in structure that flexible RNA receptors typically undergo on binding small molecules. There is growing evidence that small molecules bind pre-existing RNA conformers from a dynamical ensemble;thus, if the structures of the unbound RNA dynamical ensembles could be determined at atomic resolution, a major obstacle to computational docking could be overcome. We propose to develop a new method, that combines NMR spectroscopy and enhanced computational MD simulations, to visualize at atomic resolution, unbound RNA structural ensembles in free and protein/metal bound states and to use virtual docking simulations to identity small molecules that bind distinct conformers in the ensemble. The new methodology we will be used to identify small molecules that disrupt (i) viral transcription elongation by targeting the transactivation response element (TAR) RNA and (ii) viral genome dimerization, packaging, and maturation by targeting the dimerization initation site (DIS) RNA. Computational predictions will be experimentally verified and complemented by in vitro NMR, florescence, and reporter gene assays as well as in vivo viral replication assays. This unique blend of experiment and theory will help establish a new paradigm for RNA- targeted HIV drug discovery.

Public Health Relevance

The proposed research will develop a novel hybrid experimental-computational method for rapidly identifying small molecules that bind and disrupt the functions of two essential regulatory RNA elements in the HIV genome. The approach will be used to significantly accelerate the pace of searching and testing for novel therapeutic agents that target new viral components and thereby further suppress the rate of HIV replication and resistance as well as help widen the treatment options available.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Project (R01)
Project #
5R01AI066975-11
Application #
8639442
Study Section
AIDS Molecular and Cellular Biology Study Section (AMCB)
Program Officer
Miller, Roger H
Project Start
2005-07-01
Project End
2015-03-31
Budget Start
2014-04-01
Budget End
2015-03-31
Support Year
11
Fiscal Year
2014
Total Cost
Indirect Cost
Name
Duke University
Department
Biochemistry
Type
Schools of Medicine
DUNS #
City
Durham
State
NC
Country
United States
Zip Code
27705
Shi, Honglue; Clay, Mary C; Rangadurai, Atul et al. (2018) Atomic structures of excited state A-T Hoogsteen base pairs in duplex DNA by combining NMR relaxation dispersion, mutagenesis, and chemical shift calculations. J Biomol NMR 70:229-244
Ganser, Laura R; Lee, Janghyun; Rangadurai, Atul et al. (2018) High-performance virtual screening by targeting a high-resolution RNA dynamic ensemble. Nat Struct Mol Biol 25:425-434
Andra?oj?, Witold; Ravera, Enrico; Salmon, Loïc et al. (2016) Inter-helical conformational preferences of HIV-1 TAR-RNA from maximum occurrence analysis of NMR data and molecular dynamics simulations. Phys Chem Chem Phys 18:5743-52
Salmon, Loïc; Giamba?u, George M; Nikolova, Evgenia N et al. (2015) Modulating RNA Alignment Using Directional Dynamic Kinks: Application in Determining an Atomic-Resolution Ensemble for a Hairpin using NMR Residual Dipolar Couplings. J Am Chem Soc 137:12954-65
Yang, Shan; Al-Hashimi, Hashim M (2015) Unveiling Inherent Degeneracies in Determining Population-Weighted Ensembles of Interdomain Orientational Distributions Using NMR Residual Dipolar Couplings: Application to RNA Helix Junction Helix Motifs. J Phys Chem B 119:9614-26
Xue, Yi; Kellogg, Dawn; Kimsey, Isaac J et al. (2015) Characterizing RNA Excited States Using NMR Relaxation Dispersion. Methods Enzymol 558:39-73
Frank, Aaron T; Zhang, Qi; Al-Hashimi, Hashim M et al. (2015) Slowdown of Interhelical Motions Induces a Glass Transition in RNA. Biophys J 108:2876-85
Bothe, Jameson R; Stein, Zachary W; Al-Hashimi, Hashim M (2014) Evaluating the uncertainty in exchange parameters determined from off-resonance R1? relaxation dispersion for systems in fast exchange. J Magn Reson 244:18-29
Mustoe, Anthony M; Brooks, Charles L; Al-Hashimi, Hashim M (2014) Hierarchy of RNA functional dynamics. Annu Rev Biochem 83:441-66
Dickson, Alex; Mustoe, Anthony M; Salmon, Loïc et al. (2014) Efficient in silico exploration of RNA interhelical conformations using Euler angles and WExplore. Nucleic Acids Res 42:12126-37

Showing the most recent 10 out of 45 publications