Literature DB >> 35594021

In Silico Drug Discovery for Treatment of Virus Diseases.

Shikha Joon1,2, Rajeev K Singla1,2, Bairong Shen3.   

Abstract

Viral infections have remained a serious public health burden despite significant improvements in medical and pharmaceutical research in recent years. In silico approaches for drug discovery and design are fruitful for the management of a plethora of viral diseases. Virtual screening of libraries is performed using various computational tools to search for potential antiviral compounds. For this, a rational approach is used that comprises filtration of the screened compounds using docking, ligand- or pharmacophore-based similarity searches. The selected candidates are then tested in vitro to ascertain their biological activity. This minimizes the overall cost and time incurred in conventional drug designing methods. In this book chapter, we have discussed various methods of drug discovery and design, and their applications for the development of effective antiviral compounds. A descriptive methodology for the management of some common and notorious viral diseases is also outlined.
© 2022. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Entities:  

Keywords:  Antiviral compounds; Docking; In silico drug discovery and design; Ligand; Pharmacophore; Viral diseases; Virtual screening

Mesh:

Substances:

Year:  2022        PMID: 35594021     DOI: 10.1007/978-981-16-8969-7_4

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  84 in total

1.  The Protein Data Bank.

Authors:  Helen M Berman; Tammy Battistuz; T N Bhat; Wolfgang F Bluhm; Philip E Bourne; Kyle Burkhardt; Zukang Feng; Gary L Gilliland; Lisa Iype; Shri Jain; Phoebe Fagan; Jessica Marvin; David Padilla; Veerasamy Ravichandran; Bohdan Schneider; Narmada Thanki; Helge Weissig; John D Westbrook; Christine Zardecki
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2002-05-29

Review 2.  Structure-based virtual screening: an overview.

Authors:  Paul D Lyne
Journal:  Drug Discov Today       Date:  2002-10-15       Impact factor: 7.851

Review 3.  Virtual screening of chemical libraries.

Authors:  Brian K Shoichet
Journal:  Nature       Date:  2004-12-16       Impact factor: 49.962

Review 4.  Computer-aided drug discovery and development (CADDD): in silico-chemico-biological approach.

Authors:  I M Kapetanovic
Journal:  Chem Biol Interact       Date:  2006-12-16       Impact factor: 5.192

Review 5.  Homology modeling.

Authors:  Elmar Krieger; Sander B Nabuurs; Gert Vriend
Journal:  Methods Biochem Anal       Date:  2003

Review 6.  Virtual screening strategies in drug discovery.

Authors:  Campbell McInnes
Journal:  Curr Opin Chem Biol       Date:  2007-10       Impact factor: 8.822

Review 7.  From drug target to leads--sketching a physicochemical pathway for lead molecule design in silico.

Authors:  S A Shaikh; T Jain; G Sandhu; N Latha; B Jayaram
Journal:  Curr Pharm Des       Date:  2007       Impact factor: 3.116

Review 8.  Structure-based drug design: docking and scoring.

Authors:  Romano T Kroemer
Journal:  Curr Protein Pept Sci       Date:  2007-08       Impact factor: 3.272

Review 9.  Homology modeling in drug discovery: current trends and applications.

Authors:  Claudio N Cavasotto; Sharangdhar S Phatak
Journal:  Drug Discov Today       Date:  2009-05-05       Impact factor: 7.851

Review 10.  Emergence and pandemic potential of swine-origin H1N1 influenza virus.

Authors:  Gabriele Neumann; Takeshi Noda; Yoshihiro Kawaoka
Journal:  Nature       Date:  2009-06-18       Impact factor: 49.962

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