Literature DB >> 17608406

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

Cristina Tintori1, Fabrizio Manetti, Nevena Veljkovic, Vladimir Perovic, Jo Vercammen, Sean Hayes, Silvio Massa, Myriam Witvrouw, Zeger Debyser, Veljko Veljkovic, Maurizio Botta.   

Abstract

HIV-1 integrase (IN) is an essential enzyme for viral replication and represents an intriguing target for the development of new drugs. Although a large number of compounds have been reported to inhibit IN in biochemical assays, no drug active against this enzyme has been approved by the FDA so far. In this study, we report, for the first time, the use of the electron-ion interaction potential (EIIP) technique in combination with molecular modeling approaches for the identification of new IN inhibitors. An innovative virtual screening approach, based on the determination of both short- and long-range interactions between interacting molecules, was employed with the aim of identifying molecules able to inhibit the binding of IN to viral DNA. Moreover, results from a database screening on the commercial Asinex Gold Collection led to the selection of several compounds. One of them showed a significant inhibitory potency toward IN in the overall integration assay. Biological investigations also showed, in agreement with modeling studies, that these compounds prevent recognition of DNA by IN in a fluorescence fluctuation assay, probably by interacting with the DNA binding domain of IN.

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Year:  2007        PMID: 17608406     DOI: 10.1021/ci700078n

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  4 in total

1.  In Silico Screening of Natural Compounds for Candidates 5HT6 Receptor Antagonists against Alzheimer's Disease.

Authors:  Tijana Bojić; Milan Sencanski; Vladimir Perovic; Jelena Milicevic; Sanja Glisic
Journal:  Molecules       Date:  2022-04-19       Impact factor: 4.927

Review 2.  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

3.  Virtual Screen for Repurposing of Drugs for Candidate Influenza a M2 Ion-Channel Inhibitors.

Authors:  Draginja Radosevic; Milan Sencanski; Vladimir Perovic; Nevena Veljkovic; Jelena Prljic; Veljko Veljkovic; Emily Mantlo; Natalya Bukreyeva; Slobodan Paessler; Sanja Glisic
Journal:  Front Cell Infect Microbiol       Date:  2019-03-26       Impact factor: 5.293

4.  Identification of SARS-CoV-2 Papain-like Protease (PLpro) Inhibitors Using Combined Computational Approach.

Authors:  Milan Sencanski; Vladimir Perovic; Jelena Milicevic; Tamara Todorovic; Radivoje Prodanovic; Veljko Veljkovic; Slobodan Paessler; Sanja Glisic
Journal:  ChemistryOpen       Date:  2022-02       Impact factor: 2.630

  4 in total

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