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Chemical Biology & Drug Design Jan 2024Human immunodeficiency virus (HIV) causes acquired immunodeficiency syndrome (AIDS), a lethal disease that is prevalent worldwide. According to the Joint United Nations... (Review)
Review
Human immunodeficiency virus (HIV) causes acquired immunodeficiency syndrome (AIDS), a lethal disease that is prevalent worldwide. According to the Joint United Nations Programme on HIV/AIDS (UNAIDS) data, 38.4 million people worldwide were living with HIV in 2021. Viral reverse transcriptase (RT) is an excellent target for drug intervention. Nucleoside reverse transcriptase inhibitors (NRTIs) were the first class of approved antiretroviral drugs. Later, a new type of non-nucleoside reverse transcriptase inhibitors (NNRTIs) were approved as anti-HIV drugs. Zidovudine, didanosine, and stavudine are FDA-approved NRTIs, while nevirapine, efavirenz, and delavirdine are FDA-approved NNRTIs. Several agents are in clinical trials, including apricitabine, racivir, elvucitabine, doravirine, dapivirine, and elsulfavirine. This review addresses HIV-1 structure, replication cycle, reverse transcription, and HIV drug targets. This study focuses on NRTIs and NNRTIs, their binding sites, mechanisms of action, FDA-approved drugs and drugs in clinical trials, their resistance and adverse effects, their molecular docking studies, and highly active antiretroviral therapy (HAART).
Topics: Humans; Reverse Transcriptase Inhibitors; Anti-HIV Agents; HIV-1; Molecular Docking Simulation; HIV Infections; Acquired Immunodeficiency Syndrome; HIV Reverse Transcriptase
PubMed: 37817296
DOI: 10.1111/cbdd.14372 -
Journal of Biomolecular Structure &... Feb 2024The dengue virus (DENV) infects approximately 400 million people annually worldwide causing significant morbidity and mortality. Despite advances in understanding the...
The dengue virus (DENV) infects approximately 400 million people annually worldwide causing significant morbidity and mortality. Despite advances in understanding the virus life cycle and infectivity, no specific treatment for this disease exists due to the lack of therapeutic drugs. In addition, vaccines available currently are ineffective with severe side effects. Therefore, there is an urgent need for developing therapeutics suitable for effective management of DENV infection. In this study, we adopted a drug repurposing strategy to identify new therapeutic use of existing FDA approved drug molecules to target DENV2 non-structural proteins NS3 and NS5 using computational approaches. We used Drugbank database molecules for virtual screening and multiple docking analysis against a total of four domains, the NS3 protease and helicase domains and NS5 MTase and RdRp domains. Subsequently, MD simulations and MM-PBSA analysis were performed to validate the intrinsic atomic interactions and the binding affinities. Furthermore, the internal dynamics in all four protein domains, in presence of drug molecule binding were assessed using essential dynamics and free energy landscape analyses, which were further coupled with conformational dynamics-based clustering studies and cross-correlation analysis to map the regions that exhibit these structural variations. Our comprehensive analysis identified tolcapone, cefprozil, delavirdine and indinavir as potential inhibitors of NS5 MTase, NS5 RdRp, NS3 protease and NS3 helicase functions, respectively. These high-confidence candidate molecules will be useful for developing effective anti-DENV therapy to combat dengue infection.Communicated by Ramaswamy H. Sarma.
PubMed: 38334186
DOI: 10.1080/07391102.2024.2313161 -
Irish Journal of Medical Science Feb 2024The COVID-19 pandemic has been recognized as severe acute respiratory syndrome, one of the worst and disastrous infectious diseases in human history. Until now, there...
OBJECTIVE
The COVID-19 pandemic has been recognized as severe acute respiratory syndrome, one of the worst and disastrous infectious diseases in human history. Until now, there is no cure to this contagious infection although some multinational pharmaceutical companies have synthesized the vaccines and injecting them into humans, but a drug treatment regimen is yet to come.
AIM
Among the multiple areas of SARS-CoV-2 that can be targeted, protease protein has significant values due to its essential role in viral replication and life. The repurposing of FDA-approved drugs for the treatment of COVID-19 has been a critical strategy during the pandemic due to the urgency of effective therapies. The novelty in this work refers to the innovative use of existing drugs with greater safety, speed, cost-effectiveness, broad availability, and diversity in the mechanism of action that have been approved and developed for other medical conditions.
METHODS
In this research work, we have engaged drug reprofiling or drug repurposing to recognize possible inhibitors of protease protein 6M03 in an instantaneous approach through computational docking studies.
RESULTS
We screened 16 FDA-approved anti-viral drugs that were known for different viral infections to be tested against this contagious novel strain. Through these reprofiling studies, we come up with 5 drugs, namely, Delavirdine, Fosamprenavir, Imiquimod, Stavudine, and Zanamivir, showing excellent results with the negative binding energies in Kcal/mol as - 8.5, - 7.0, - 6.8, - 6.8, and - 6.6, respectively, in the best binding posture. In silico studies allowed us to demonstrate the potential role of these drugs against COVID-19.
CONCLUSION
In our study, we also observed the nucleotide sequence of protease protein consisting of 316 amino acid residues and the influence of these pronouncing drugs over these sequences. The outcome of this research work provides researchers with a track record for carrying out further investigational procedures by applying docking simulations and in vitro and in vivo experimentation with these reprofile drugs so that a better drug can be formulated against coronavirus.
Topics: Humans; COVID-19; Antiviral Agents; SARS-CoV-2; Drug Repositioning; Pandemics; Molecular Docking Simulation; Peptide Hydrolases
PubMed: 37515684
DOI: 10.1007/s11845-023-03473-9