Literature DB >> 22435452

Screening methods for influenza antiviral drug discovery.

Colm Atkins1, Carrie W Evans, E Lucile White, James W Noah.   

Abstract

INTRODUCTION: Influenza antiviral high-throughput screens have been extensive, and yet no approved influenza antivirals have been identified through high-throughput screening. This underscores the idea that development of successful screens should focus on the exploitation of the underrepresented viral targets and novel, therapeutic host targets. AREAS COVERED: The authors review conventional screening applications and emerging technologies with the potential to enhance influenza antiviral discovery. Real-world examples from the authors' work in biocontained environments are also provided. Future innovations are discussed, including the use of targeted libraries, multiplexed assays, proximity-based endpoint methods, non-laboratory-adapted virus strains, and primary cells, for immediate physiological relevance and translational applications. EXPERT OPINION: The lack of successful anti-influenza drug discovery using high-throughput screening should not deter future efforts. Increased understanding of the functions of viral targets and host-pathogen interactions has broadened the target reservoir. Future screening efforts should focus on identifying new drugs against unexploited viral and host targets using currently developed assays, and on the development of novel, innovative assays to discover new drugs with novel mechanisms. Innovative screens must be designed to identify compounds that specifically inhibit protein-protein or protein-RNA interactions or other virus/host factor interactions that are crucial for viral replication. Finally, the use of recent viral isolates, increased biocontainment (for highly-pathogenic strains), primary cell lines, and targeted compound libraries must converge in efficient high-throughput primary screens to generate high-content, physiologically-relevant data on compounds with robust antiviral activity.

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Year:  2012        PMID: 22435452     DOI: 10.1517/17460441.2012.674510

Source DB:  PubMed          Journal:  Expert Opin Drug Discov        ISSN: 1746-0441            Impact factor:   6.098


  6 in total

1.  Early Viral Entry Assays for the Identification and Evaluation of Antiviral Compounds.

Authors:  Chen-Jei Tai; Chia-Lin Li; Cheng-Jeng Tai; Chien-Kai Wang; Liang-Tzung Lin
Journal:  J Vis Exp       Date:  2015-10-29       Impact factor: 1.355

Review 2.  Adapting high-throughput screening methods and assays for biocontainment laboratories.

Authors:  Lynn Rasmussen; Bersabeh Tigabu; E Lucile White; Robert Bostwick; Nichole Tower; Alexander Bukreyev; Barry Rockx; James W LeDuc; James W Noah
Journal:  Assay Drug Dev Technol       Date:  2015 Jan-Feb       Impact factor: 1.738

3.  Preclinical activity of VX-787, a first-in-class, orally bioavailable inhibitor of the influenza virus polymerase PB2 subunit.

Authors:  Randal A Byrn; Steven M Jones; Hamilton B Bennett; Chris Bral; Michael P Clark; Marc D Jacobs; Ann D Kwong; Mark W Ledeboer; Joshua R Leeman; Colleen F McNeil; Mark A Murcko; Azin Nezami; Emanuele Perola; Rene Rijnbrand; Kumkum Saxena; Alice W Tsai; Yi Zhou; Paul S Charifson
Journal:  Antimicrob Agents Chemother       Date:  2014-12-29       Impact factor: 5.191

4.  Pharmacological Characterization of the Spectrum of Antiviral Activity and Genetic Barrier to Drug Resistance of M2-S31N Channel Blockers.

Authors:  Chunlong Ma; Jiantao Zhang; Jun Wang
Journal:  Mol Pharmacol       Date:  2016-07-06       Impact factor: 4.436

Review 5.  Virus-host interactomes--antiviral drug discovery.

Authors:  Yue Ma-Lauer; Jian Lei; Rolf Hilgenfeld; Albrecht von Brunn
Journal:  Curr Opin Virol       Date:  2012-10       Impact factor: 7.090

6.  Antiviral Activity of Benzoic Acid Derivative NC-5 Against Influenza A Virus and Its Neuraminidase Inhibition.

Authors:  Min Guo; Jiawei Ni; Jie Yu; Jing Jin; Lingman Ma; Huixing Zhang; Dechuan Wang; Xue Zhang; Jie Dou; Changlin Zhou
Journal:  Int J Mol Sci       Date:  2019-12-12       Impact factor: 5.923

  6 in total

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