PANWAR, U., I. CHANDRA, Selvaraj CHANDRABOSE and S.K. SINGH. Current Computational Approaches for the Development of Anti-HIV Inhibitors: An Overview. Current Pharmaceutical Design. Sharjah: Bentham Science Publishers, 2019, vol. 25, No 31, p. 3390-3405. ISSN 1381-6128. Available from: https://dx.doi.org/10.2174/1381612825666190911160244.
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Basic information
Original name Current Computational Approaches for the Development of Anti-HIV Inhibitors: An Overview
Authors PANWAR, U., I. CHANDRA, Selvaraj CHANDRABOSE (356 India, guarantor, belonging to the institution) and S.K. SINGH.
Edition Current Pharmaceutical Design, Sharjah, Bentham Science Publishers, 2019, 1381-6128.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30104 Pharmacology and pharmacy
Country of publisher United Arab Emirates
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 2.208
RIV identification code RIV/00216224:14740/19:00113284
Organization unit Central European Institute of Technology
Doi http://dx.doi.org/10.2174/1381612825666190911160244
UT WoS 000496934200010
Keywords in English AIDS; anti-HIV; biological targets; computational drug discovery; drugs; HIV-1 life cycle; virtual screening
Tags rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Pavla Foltynová, Ph.D., učo 106624. Changed: 31/3/2020 21:28.
Abstract
Background: Today, HIV-1 infection has become an extensive problem to public health and a greater challenge to all working researchers throughout the world. Since the beginning of HIV-1 virus, several antiviral therapeutic agents have been developed at various stages to combat HIV-1 infection. But, the many of antiviral drugs are on the platform of drug resistance and toxicology issues, needs an urgent constructive investigation for the development of productive and protective therapeutics to make an improvement of individual life suffering with viral infection. As developing a novel agent is very costly, challenging and time taking route in the recent times. Methods: The review summarized about the modern approaches of computational aided drug discovery to developing a novel inhibitor within a short period of time and less cost. Results: The outcome suggests on the premise of reported information that the computational drug discovery is a powerful technology to design a defensive and fruitful therapeutic agents to combat HIV-1 infection and recover the lifespan of suffering one. Conclusion: Based on survey of the reported information, we concluded that the current computational approaches is highly supportive in the progress of drug discovery and controlling the viral infection.
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