0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessSignificance Nonnucleoside reverse transcriptase inhibitors (NNRTIs) are essential components of highly active antiretroviral therapy; however, concerns about poor pharmacological properties, dose restriction because of toxicity, and drug resistance have limited treatment options. Our computational and structure-guided design studies for lead optimization have transformed a 5 µM virtual screening hit into a class of NNRTIs with remarkable potency, safety, drug resistance profile, and pharmacological properties. We report a representative, compound I, with marked synergy with existing HIV-1 drugs and antiviral efficacy in HIV-1–infected humanized mice. A single dose of long-acting nanoformulation of compound I retains sustained levels and efficacy for ∼3 weeks, confirming potential as a late-stage preclinical candidate. Additionally, these properties of compound I suggest that it may be a promising candidate to evaluate for preexposure prophylaxis.
Shalley N. Kudalkar, Jagadish Beloor, Elias Quijano, Krasimir A. Spasov, Won‐Gil Lee, José A. Cisneros, W. Mark Saltzman, Priti Kumar, William L. Jorgensen, Karen S. Anderson (2017). From in silico hit to long-acting late-stage preclinical candidate to combat HIV-1 infection. Proceedings of the National Academy of Sciences, 115(4), DOI: 10.1073/pnas.1717932115.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2017
Authors
10
Datasets
0
Total Files
0
Language
English
Journal
Proceedings of the National Academy of Sciences
DOI
10.1073/pnas.1717932115
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access