Computational Advancement towards the Identification of Natural Inhibitors for Dengue Virus: A Brief Review

Sheikh Arslan Sehgal, Iashia Tur Razia, Ayesha Kanwal, Muhammad Ahsan, Rana Adnan Tahir, Muhammad Sajid, Muhammad Saleem Khan, Naila Mukhtar, Gulnaz Parveen, Muhammad Sajid

Research output: Contribution to journalArticlepeer-review

Abstract

Viral infectious illnesses represent a severe hazard to human health due to their widespread incidence worldwide. Among these ailments, the dengue virus (DENV) infection stands out. World Health Organization (WHO) estimates that DENV infection affects ~400 million people each year, with potentially fatal symptoms showing up in 1% of the cases. In several instances, academic and pharmaceutical researchers have conducted several pilot and clinical studies on a variety of topics, including viral epidemiology, structure and function analyses, infection source and route, therapeutic targets, vaccinations, and therapeutic drugs. Amongst Takeda, TAK-003, Sanofi, Dengvaxia®, and Butantan/NIH/Merck, Dengvaxia® (CYD-TDV) is the only licensed vaccination yet; however, the potential inhibitors are under development. The biology and evolution of DENVs are briefly discussed in this review, which also compiles the most recent studies on prospective antiviral targets and antiviral candidates. In conclusion, the triumphs and failures have influenced the development of anti-DENV medications, and the findings in this review article will stimulate more investigation.

Original languageEnglish
JournalCombinatorial Chemistry and High Throughput Screening
Volume26
Early online dateOct 6 2023
DOIs
Publication statusPublished - Oct 6 2023

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