Literature DB >> 18855700

Discovery of new therapeutic targets by the informational spectrum method.

Nevena Veljkovic1, Sanja Glisic, Jelena Prljic, Vladimir Perovic, Maurizio Botta, Veljko Veljkovic.   

Abstract

The field of bioinformatics has become a major part of the drug discovery pipeline playing a key role in improvement and acceleration of this time and money consuming process. Here we review the application of the informational spectrum method (ISM), a virtual spectroscopy method for structure/function analysis of proteins, in identification of functional protein domains representing candidate therapeutic targets for drugs against human immunodeficiency virus (HIV)-1, anthrax, highly pathogenic influenza virus H5N1 and cardiovascular diseases.

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Year:  2008        PMID： 18855700     DOI： 10.2174/138920308785915245

Source DB:  PubMed          Journal:  Curr Protein Pept Sci        ISSN： 1389-2037            Impact factor:   3.272


  16 in total

1.  Assessment of hepatitis C virus protein sequences with regard to interferon/ribavirin combination therapy response in patients with HCV genotype 1b.

Authors:  Sanja Glisic; Nevena Veljkovic; Snezana Jovanovic Cupic; Nada Vasiljevic; Jelena Prljic; Branislava Gemovic; Vladimir Perovic; Veljko Veljkovic
Journal:  Protein J       Date:  2012-02       Impact factor: 2.371

2.  Novel phylogenetic algorithm to monitor human tropism in Egyptian H5N1-HPAIV reveals evolution toward efficient human-to-human transmission.

Authors:  Vladimir R Perovic; Claude P Muller; Henry L Niman; Nevena Veljkovic; Ursula Dietrich; Dusan D Tosic; Sanja Glisic; Veljko Veljkovic
Journal:  PLoS One       Date:  2013-04-26       Impact factor: 3.240

3.  In silico analysis suggests interaction between Ebola virus and the extracellular matrix.

Authors:  Veljko Veljkovic; Sanja Glisic; Claude P Muller; Matthew Scotch; Donald R Branch; Vladimir R Perovic; Milan Sencanski; Nevena Veljkovic; Alfonso Colombatti
Journal:  Front Microbiol       Date:  2015-02-19       Impact factor: 5.640

4.  In Silico Prediction and Experimental Confirmation of HA Residues Conferring Enhanced Human Receptor Specificity of H5N1 Influenza A Viruses.

Authors:  Sonja Schmier; Ahmed Mostafa; Thomas Haarmann; Norbert Bannert; John Ziebuhr; Veljko Veljkovic; Ursula Dietrich; Stephan Pleschka
Journal:  Sci Rep       Date:  2015-06-19       Impact factor: 4.379

5.  Demonstration of a direct interaction between β2-adrenergic receptor and insulin receptor by BRET and bioinformatics.

Authors:  Maja Mandić; Luka Drinovec; Sanja Glisic; Nevena Veljkovic; Jane Nøhr; Milka Vrecl
Journal:  PLoS One       Date:  2014-11-17       Impact factor: 3.240

6.  Possible repurposing of seasonal influenza vaccine for prevention of Zika virus infection.

Authors:  Veljko Veljkovic; Slobodan Paessler
Journal:  F1000Res       Date:  2016-02-18

7.  Identification of hemagglutinin structural domain and polymorphisms which may modulate swine H1N1 interactions with human receptor.

Authors:  Veljko Veljkovic; Henry L Niman; Sanja Glisic; Nevena Veljkovic; Vladimir Perovic; Claude P Muller
Journal:  BMC Struct Biol       Date:  2009-09-28

8.  Feature-based classification of amino acid substitutions outside conserved functional protein domains.

Authors:  Branislava Gemovic; Vladimir Perovic; Sanja Glisic; Nevena Veljkovic
Journal:  ScientificWorldJournal       Date:  2013-11-17

9.  Common molecular mechanism of the hepatic lesion and the cardiac parasympathetic regulation in chronic hepatitis C infection: a critical role for the muscarinic receptor type 3.

Authors:  Sanja Glišić; David P Cavanaugh; Krishnan K Chittur; Milan Sencanski; Vladimir Perovic; Tijana Bojić
Journal:  BMC Bioinformatics       Date:  2016-03-22       Impact factor: 3.169

10.  In silico Therapeutics for Neurogenic Hypertension and Vasovagal Syncope.

Authors:  Tijana Bojić; Vladimir R Perović; Sanja Glišić
Journal:  Front Neurosci       Date:  2016-01-21       Impact factor: 4.677
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