Literature DB >> 17305545

Application of the EIIP/ISM bioinformatics concept in development of new drugs.

V Veljkovic1, N Veljkovic, J A Esté, A Hüther, U Dietrich.   

Abstract

The development of a new therapeutic drug is a complex, lengthy and expensive process. On average, only one out of 10,000 - 30,000 originally synthesized compounds will clear all the hurdles on the way to becoming a commercially available drug. The process of early and full preclinical discovery and clinical development for a new drug can take twelve to fifteen years to complete, and cost approximately 800 million dollars. 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 reviewed the application of the EIIP/ISM bioinformatics concept for the development of new drugs. This approach, connecting the electron-ion interaction potential of organic molecules and their biological properties, can significantly reduce development time through (i) identification of promising lead compounds that have some activity against a disease by fast virtual screening of the large molecular libraries, (ii) refinement of selected lead compounds in order to increase their biological activity, and (iii) identification of domains of proteins and nucleotide sequences representing potential targets for therapy. Special attention is paid in this review to the application of the EIIP/ISM bioinformatics platform along with other experimental techniques (screening of a phage displayed peptide libraries, testing selected peptides and small molecules for antiviral activity in vitro) in development of HIV entry inhibitors, representing a new generation of the AIDS drugs.

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Year:  2007        PMID: 17305545     DOI: 10.2174/092986707779941014

Source DB:  PubMed          Journal:  Curr Med Chem        ISSN: 0929-8673            Impact factor:   4.530


  16 in total

1.  Tally-2.0: upgraded validator of tandem repeat detection in protein sequences.

Authors:  Vladimir Perovic; Jeremy Y Leclercq; Neven Sumonja; Francois D Richard; Nevena Veljkovic; Andrey V Kajava
Journal:  Bioinformatics       Date:  2020-05-01       Impact factor: 6.937

2.  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

3.  Prediction of intrinsically disordered regions in proteins using signal processing methods: application to heat-shock proteins.

Authors:  Vuk Vojisavljevic; Elena Pirogova
Journal:  Med Biol Eng Comput       Date:  2016-04-01       Impact factor: 2.602

4.  The ablation of the matricellular protein EMILIN2 causes defective vascularization due to impaired EGFR-dependent IL-8 production affecting tumor growth.

Authors:  Alice Paulitti; Eva Andreuzzi; Dario Bizzotto; Rosanna Pellicani; Giulia Tarticchio; Stefano Marastoni; Chiara Pastrello; Igor Jurisica; Giovanni Ligresti; Francesco Bucciotti; Roberto Doliana; Roberta Colladel; Paola Braghetta; Evelina Poletto; Alessia Di Silvestre; Giorgio Bressan; Alfonso Colombatti; Paolo Bonaldo; Maurizio Mongiat
Journal:  Oncogene       Date:  2018-02-27       Impact factor: 9.867

Review 5.  Simple Chemoinformatics Criterion Using Electron Donor-Acceptor Molecular Characteristics for Selection of Antibiotics Against Multi-Drug-Resistant Bacteria.

Authors:  Veljko Veljkovic; Sanja Glisic; Vladimir Perovic; Slobodan Paessler; Nevena Veljkovic; Garth L Nicolson
Journal:  Discoveries (Craiova)       Date:  2016-10-01

6.  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

7.  In silico analysis suggests repurposing of ibuprofen for prevention and treatment of EBOLA virus disease.

Authors:  Veljko Veljkovic; Marco Goeijenbier; Sanja Glisic; Nevena Veljkovic; Vladimir R Perovic; Milan Sencanski; Donald R Branch; Slobodan Paessler
Journal:  F1000Res       Date:  2015-05-01

8.  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

Review 9.  Discovery of Antivirals Using Phage Display.

Authors:  Esen Sokullu; Marie-Soleil Gauthier; Benoit Coulombe
Journal:  Viruses       Date:  2021-06-10       Impact factor: 5.048

10.  Characterization of conserved properties of hemagglutinin of H5N1 and human influenza viruses: possible consequences for therapy and infection control.

Authors:  Veljko Veljkovic; Nevena Veljkovic; Claude P Muller; Sybille Müller; Sanja Glisic; Vladimir Perovic; Heinz Köhler
Journal:  BMC Struct Biol       Date:  2009-04-07
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