Literature DB >> 12083781

Molecular model of shikimate kinase from Mycobacterium tuberculosis.

Walter Filgueira de Azevedo1, Fernanda Canduri, Jaim Simões de Oliveira, Luiz Augusto Basso, Mário Sérgio Palma, José Henrique Pereira, Diógenes Santiago Santos.   

Abstract

Tuberculosis (TB) resurged in the late 1980s and now kills approximately 3 million people a year. The reemergence of tuberculosis as a public health threat has created a need to develop new anti-mycobacterial agents. The shikimate pathway is an attractive target for herbicides and anti-microbial agents development because it is essential in algae, higher plants, bacteria, and fungi, but absent from mammals. Homologs to enzymes in the shikimate pathway have been identified in the genome sequence of Mycobacterium tuberculosis. Among them, the shikimate kinase I encoding gene (aroK) was proposed to be present by sequence homology. Accordingly, to pave the way for structural and functional efforts towards anti-mycobacterial agents development, here we describe the molecular modeling of M. tuberculosis shikimate kinase that should provide a structural framework on which the design of specific inhibitors may be based. (c) 2002 Elsevier Science (USA).

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Year:  2002        PMID: 12083781     DOI: 10.1016/S0006-291X(02)00632-0

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  4 in total

1.  Molecular models of protein targets from Mycobacterium tuberculosis.

Authors:  Nelson José Freitas da Silveira; Hugo Brandão Uchôa; José Henrique Pereira; Fernanda Canduri; Luiz Augusto Basso; Mário Sérgio Palma; Diógenes Santiago Santos; Walter Filgueira de Azevedo
Journal:  J Mol Model       Date:  2005-03-10       Impact factor: 1.810

2.  In silico structural homology modelling of EST073 motif coding protein of tea Camellia sinensis (L).

Authors:  K H T Karunarathna; N H K S Senathilake; K M Mewan; O V D S J Weerasena; S A C N Perera
Journal:  J Genet Eng Biotechnol       Date:  2020-07-19

3.  High throughput virtual screening reveals SARS-CoV-2 multi-target binding natural compounds to lead instant therapy for COVID-19 treatment.

Authors:  Biswajit Naik; Nidhi Gupta; Rupal Ojha; Satyendra Singh; Vijay Kumar Prajapati; Dhaneswar Prusty
Journal:  Int J Biol Macromol       Date:  2020-05-26       Impact factor: 6.953

4.  Structural and Functional Elucidation of IF-3 Protein of Chloroflexus aurantiacus Involved in Protein Biosynthesis: An In Silico Approach.

Authors:  Abu Saim Mohammad Saikat; Md Ekhlas Uddin; Tasnim Ahmad; Shahriar Mahmud; Md Abu Sayeed Imran; Sohel Ahmed; Salem A Alyami; Mohammad Ali Moni
Journal:  Biomed Res Int       Date:  2021-07-01       Impact factor: 3.411

  4 in total

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