AI Article Synopsis
- The review highlights advancements in non-nucleoside reverse transcriptase inhibitors (NNRTIs) aimed at improving HIV treatment by addressing issues like drug resistance and toxicity.
- It emphasizes the role of computational chemistry and structure-based drug design in developing more effective and safer NNRTIs.
- The article also discusses new chemical frameworks that show significant efficacy and how artificial intelligence is enhancing drug discovery to combat drug resistance in anti-HIV therapies.
Article Abstract
Introduction: This review encapsulates the recent strides in the development of non-nucleoside reverse transcriptase inhibitors (NNRTIs) for HIV treatment, focusing on the novel structural designs that promise to overcome limitations of existing therapies, such as drug resistance and toxicity.
Areas Covered: We underscore the application of computational chemistry and structure-based drug design in refining NNRTIs with enhanced potency and safety.
Expert Opinion: Highlighting the emergence of diverse chemical scaffolds like diarylpyrimidines, indoles, DABOs and HEPTs, the review reveals compounds with nanomolar efficacy and improved pharmacokinetics. The integration of artificial intelligence in drug discovery is poised to accelerate the evolution of NNRTIs, laying the foundation for addressing drug resistance in the era of anti-HIV therapy through innovative designs and multi-target strategies.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1080/17460441.2024.2415309 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Predicted environmental concentration (PEC), environmental risk assessment (ERA) and prioritization of antiretroviral drugs (ARVs) in seawater from Guarujá (Brazilian coastal zone).
Mar Environ Res
January 2025
Laboratório de Pesquisa em Produtos Naturais, Universidade Santa Cecília (UNISANTA), Rua Oswaldo Cruz, 266, C21, bloco C, Boqueirão, Santos, 11045-907, São Paulo, Brazil. Electronic address:
The antiretroviral therapy program's success in managing the human immunodeficiency virus (HIV) has inadvertently led to the release of antiretrovirals (ARVs) into worldwide aquatic ecosystems. However, few studies investigated the risks of ARV loadings that flow continuously to the marine waters of South America (such as Brazil). Against this backdrop, the aims of this study were: (i) to estimate the Predicted Environmental Concentration (PEC) of thirteen ARVs worldwide used in HIV treatment, and which are frequently disposed of in the marine aquatic ecosystems of Guarujá, São Paulo coastline, Brazil.
View Article and Find Full Text PDFPrevalence of drug resistance mutations in low-level viremia patients under antiretroviral therapy in Southwestern China: a cross-sectional study.
J Antimicrob Chemother
January 2025
Department of Laboratory Medicine, Yunnan Provincial Infectious Disease Hospital, Kunming 650301, China.
Objectives: This study aimed to evaluate the prevalence and characteristics of drug resistance mutations (DRMs) in patients with low-level viremia (LLV) in Southwestern China, as it has become a growing challenge in AIDS clinical practice.
Methods: This cross-sectional study was performed in Yunnan Province, Southwestern China. LLV was defined as 50-999 copies/mL of plasma viral load with antiretroviral therapy (ART) for at least 6 months.
Prevalence of major INSTI and HIV-1 drug resistance mutations in pre- and antiretroviral-treated patients in Indonesia.
Narra J
December 2024
Department of Clinical Pathology, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia.
Indonesia has one of the highest HIV infection rates in Southeast Asia. The use of dolutegravir, an integrase strand transfer inhibitor (INSTI), as a first-line treatment underscores the need for detailed data on INSTI drug resistance mutations (DRMs). Currently, there is a lack of comprehensive data on DRMs INSTI and other HIV drug resistance in Indonesian patients, both pre- and post-treatment.
View Article and Find Full Text PDFStructure-based discovery of novel diarylpyrimidines as potent and selective Non-Nucleoside reverse transcriptase inhibitors: From CH(CN)-Biphenyl-Diarylpyrimidines to CNNH-Biphenyl-Diarylpyrimidines.
Eur J Med Chem
January 2025
Sichuan Research Center for Drug Precision Industrial Technology, West China School of Pharmacy, Sichuan University, Chengdu, 610041, China; Engineering Center of Catalysis and Synthesis for Chiral Molecules, Department of Chemistry, Fudan University, Shanghai, 200433, China; Shanghai Engineering Center of Industrial Asymmetric Catalysis for Chiral Drugs, Shanghai, 200433, China; Institute of Flow Chemistry and Engineering, School of Chemistry and Materials, Jiangxi Normal University, Nanchang, 330022, China. Electronic address:
In order to enhance the anti-HIV-1 potency and selectivity of the previously reported compound 3 (EC = 27 nM, SI = 1361), a series of novel biphenyl-diarylpyrimidine derivatives were developed by employing structure-based drug design strategy. Among these derivatives, compound M44 demonstrated the most potent inhibitory activity against wild-type (WT) HIV-1 as well as five drug-resistant mutants (EC = 5-148 nM), which were 5-173 times more potent than that of 3 (EC = 27-9810 nM). Furthermore, this analogue exhibited approximately 11-fold lower cytotoxicity (CC = 54 μM) than that of etravirine and rilpivirine.
View Article and Find Full Text PDFDisparities in dolutegravir utilisation in children, adolescents and young adults (0-24 years) living with HIV. An analysis of the IeDEA Pediatric West African cohort.
BMJ Glob Health
January 2025
CERPOP, Toulouse, France.
Introduction: We describe the 24-month incidence of Dolutegravir (DTG)-containing antiretroviral treatment (ART) initiation since its introduction in 2019 in West Africa.
Methods: We included all patients aged 0-24 years on ART from nine clinics in Côte d'Ivoire (n=4), Ghana, Nigeria, Mali, Benin, and Burkina Faso. Baseline varied by clinic and was defined as date of first DTG prescription; patients were followed up until database closure/death/loss to follow-up (LTFU, no visit ≥7 months), whichever came first.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!