Literature DB >> 32309584

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

Veljko Veljkovic1,2, Sanja Glisic2, Vladimir Perovic2, Slobodan Paessler3, Nevena Veljkovic2, Garth L Nicolson4.   

Abstract

Recent outbreaks of NDM-1-positive Entero-bacteriaceae in Great Britain and India and the highly pathogenic Escherichia coli strain EHEC O104:H4 in Germany and some other E.U. countries point out an urgent need for the ability to decide on appropriate antibiotics to treat multi-drug-resistant (MDR) bacteria. Here we propose a simple criterion for choosing antibiotics based on characteristics of electron donor and acceptor properties. Using molecular descriptors, such as electron-ion interaction potential (EIIP) and average quasi-valence number (AQVN), which can describe potential long-range interactions between therapeutic molecules and their targets, we have been able to suggest appropriate antibiotics for treatment of MDR bacterial infections. To demonstrate the prospective usefulness of these molecular descriptors we have used this informatics system to propose that pleuromutilins and nitrofurans could be effective against of NDM-1-positive Enterobacteriacea and that aminoglycosides, macrolides and pluromutilins (and possibly nitrofurans) could be suitable for treatment of the highly pathogenic Escherichia coli strain EHEC O104:H4. Similarly, because of their specific electronic properties, we can also suggest antibiotics that could be potentially effective against other MDR bacteria. The proposed antibiotics should be further evaluated for their treatment potentials. Copyright:
© 2016, Veljkovic et al. Applied Systems.

Entities:  

Keywords:  Bacteria; antibiotics; molecular descriptors; multi-drug resistance

Year:  2016        PMID: 32309584      PMCID: PMC7159820          DOI: 10.15190/d.2016.11

Source DB:  PubMed          Journal:  Discoveries (Craiova)        ISSN: 2359-7232


  6 in total

Review 1.  Application of the EIIP/ISM bioinformatics concept in development of new drugs.

Authors:  V Veljkovic; N Veljkovic; J A Esté; A Hüther; U Dietrich
Journal:  Curr Med Chem       Date:  2007       Impact factor: 4.530

2.  Novel virtual screening protocol based on the combined use of molecular modeling and electron-ion interaction potential techniques to design HIV-1 integrase inhibitors.

Authors:  Cristina Tintori; Fabrizio Manetti; Nevena Veljkovic; Vladimir Perovic; Jo Vercammen; Sean Hayes; Silvio Massa; Myriam Witvrouw; Zeger Debyser; Veljko Veljkovic; Maurizio Botta
Journal:  J Chem Inf Model       Date:  2007-07-03       Impact factor: 4.956

3.  Toward novel HIV-1 integrase binding inhibitors: molecular modeling, synthesis, and biological studies.

Authors:  Claudia Mugnaini; Suvi Rajamaki; Cristina Tintori; Federico Corelli; Silvio Massa; Myriam Witvrouw; Zeger Debyser; Veljko Veljkovic; Maurizio Botta
Journal:  Bioorg Med Chem Lett       Date:  2007-08-11       Impact factor: 2.823

Review 4.  Future antibiotics scenarios: is the tide starting to turn?

Authors:  Ursula Theuretzbacher
Journal:  Int J Antimicrob Agents       Date:  2009-04-01       Impact factor: 5.283

5.  Simple criterion for selection of flavonoid compounds with anti-HIV activity.

Authors:  Veljko Veljkovic; Jean-François Mouscadet; Nevena Veljkovic; Sanja Glisic; Zeger Debyser
Journal:  Bioorg Med Chem Lett       Date:  2006-12-12       Impact factor: 2.823

6.  Emergence of a new antibiotic resistance mechanism in India, Pakistan, and the UK: a molecular, biological, and epidemiological study.

Authors:  Karthikeyan K Kumarasamy; Mark A Toleman; Timothy R Walsh; Jay Bagaria; Fafhana Butt; Ravikumar Balakrishnan; Uma Chaudhary; Michel Doumith; Christian G Giske; Seema Irfan; Padma Krishnan; Anil V Kumar; Sunil Maharjan; Shazad Mushtaq; Tabassum Noorie; David L Paterson; Andrew Pearson; Claire Perry; Rachel Pike; Bhargavi Rao; Ujjwayini Ray; Jayanta B Sarma; Madhu Sharma; Elizabeth Sheridan; Mandayam A Thirunarayan; Jane Turton; Supriya Upadhyay; Marina Warner; William Welfare; David M Livermore; Neil Woodford
Journal:  Lancet Infect Dis       Date:  2010-08-10       Impact factor: 25.071

  6 in total

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