The long-term goal of our research is to develop critically-needed small molecule drugs to help treat the approximately 33 million people worldwide living with HIV. The emergence of deleterious drug-resistance mutations against currently-approved therapies necessitates new strategies for targeting HIV life-cycle events that include complementary inhibition mechanisms and exploitation of regions with high sequence conservation. An innovative approach, recently developed in our lab, aims to leverage the wealth of energetic and structural information inherent to atomic-level molecular footprints - interaction maps occurring within targetable pockets on viral proteins - to rationally identify, develop, and design novel small molecule inhibitors against the viral protein gp41. As outlined below, we have strong evidence suggesting that footprints derived from regions on gp41 encode information regarding which residues are most critical for ligand binding and that our development of a novel computational means to harness this information is a potentially ground-breaking way to screen for, or alternatively, design-from-scratch small molecule fusion inhibitors. Here, the objectives are to utilize the power of footprints to rationally design small molecules that specifically bind to gp41 and inhibit membrane fusion. Our published atomic models for peptide inhibitors (C34 and T20/Fuzeon) with gp41 will enable us to target the known hydrophobic pocket in addition to other regions that, until now, have yet to be exploited. Our central hypothesis is that small organic molecules which make interactions with gp41, in an energetically similar manner as key side-chains on known peptide inhibitors, will make effective leads for therapeutics. Furthermore, by including footprints derived from interactions occurring within conserved gp41 regions during the identification and development stages, we postulate compounds will be more likely to have robust resistance profiles. This hypothesis is based on several observations, including our identification of seven experimentally-verified inhibitors usin a new virtual screening protocol tailored to account for footprint-based similarity. We have also used footprints in conjunction with molecular dynamics simulations to explain the origins of T20 drug resistance as well as show that association of C-helix peptide inhibitors can be driven solely by changes within the conserved gp41 pocket, supporting the premise that the conserved pocket region is an important drug target site. Promising preliminary results, in which we have integrated footprints with computational de novo design methods, facilitates, for the first time, custom construction from scratch of small molecules which make specific footprint patterns with gp41 in a similar way as a known reference.
In Aim #1 we will custom-design small molecule inhibitors specifically tailored to energetically favorable interfaces on gp41.
In Aim #2 we will develop experimentally verified gp41 leads to have improved gp41 activity.
In Aim #3 we will identify other targetable events in the gp41 pre-hairpin model.

Public Health Relevance

The emergence of drug-resistance mutations against current anti-HIV inhibitors which target the viral entry protein gp41 necessitates exploitation of alternative inhibition mechanisms and regions with higher sequence conservation. The proposed research will leverage the wealth of structural and energetic information available from atomic-level modeling of known gp41 inhibitors to rationally design small molecule compounds with improved resistance profiles, thus the finding are expected to be of direct relevance to public health.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
3R01GM083669-07S1
Application #
8915303
Study Section
AIDS Discovery and Development of Therapeutics Study Section (ADDT)
Program Officer
Sakalian, Michael
Project Start
2008-04-01
Project End
2017-08-31
Budget Start
2014-09-01
Budget End
2015-08-31
Support Year
7
Fiscal Year
2014
Total Cost
Indirect Cost
Name
State University New York Stony Brook
Department
Biostatistics & Other Math Sci
Type
Biomed Engr/Col Engr/Engr Sta
DUNS #
City
Stony Brook
State
NY
Country
United States
Zip Code
11794
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Allen, William J; Balius, Trent E; Mukherjee, Sudipto et al. (2015) DOCK 6: Impact of new features and current docking performance. J Comput Chem 36:1132-56
Jiang, Lingling; Rizzo, Robert C (2015) Pharmacophore-based similarity scoring for DOCK. J Phys Chem B 119:1083-102
Allen, William J; Yi, Hyun Ah; Gochin, Miriam et al. (2015) Small molecule inhibitors of HIVgp41 N-heptad repeat trimer formation. Bioorg Med Chem Lett 25:2853-9
Holden, Patrick M; Allen, William J; Gochin, Miriam et al. (2014) Strategies for lead discovery: application of footprint similarity targeting HIVgp41. Bioorg Med Chem 22:651-61
Allen, William J; Rizzo, Robert C (2014) Implementation of the Hungarian algorithm to account for ligand symmetry and similarity in structure-based design. J Chem Inf Model 54:518-29
Furt, Fabienne; Allen, William J; Widhalm, Joshua R et al. (2013) Functional convergence of structurally distinct thioesterases from cyanobacteria and plants involved in phylloquinone biosynthesis. Acta Crystallogr D Biol Crystallogr 69:1876-88
Balius, Trent E; Allen, William J; Mukherjee, Sudipto et al. (2013) Grid-based molecular footprint comparison method for docking and de novo design: application to HIVgp41. J Comput Chem 34:1226-40
Brozell, Scott R; Mukherjee, Sudipto; Balius, Trent E et al. (2012) Evaluation of DOCK 6 as a pose generation and database enrichment tool. J Comput Aided Mol Des 26:749-73
Holden, Patrick M; Kaur, Harmeet; Goyal, Rashi et al. (2012) Footprint-based identification of viral entry inhibitors targeting HIVgp41. Bioorg Med Chem Lett 22:3011-6

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