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Genomics, Computational Biology and Drug Discovery for Mycobacterial Infections: Fighting the Emergence of Resistance.
Munir, Asma; Vedithi, Sundeep Chaitanya; Chaplin, Amanda K; Blundell, Tom L.
Afiliação
  • Munir A; Department of Biochemistry, University of Cambridge, Cambridge, United Kingdom.
  • Vedithi SC; Department of Biochemistry, University of Cambridge, Cambridge, United Kingdom.
  • Chaplin AK; Department of Biochemistry, University of Cambridge, Cambridge, United Kingdom.
  • Blundell TL; Department of Biochemistry, University of Cambridge, Cambridge, United Kingdom.
Front Genet ; 11: 965, 2020.
Article em En | MEDLINE | ID: mdl-33101362
ABSTRACT
Tuberculosis (TB) and leprosy are mycobacterial infections caused by Mycobacterium tuberculosis and Mycobacterium leprae respectively. These diseases continue to be endemic in developing countries where the cost of new medicines presents major challenges. The situation is further exacerbated by the emergence of resistance to many front-line antibiotics. A priority now is to design new antimycobacterials that are not only effective in combatting the diseases but are also less likely to give rise to resistance. In both these respects understanding the structure of drug targets in M. tuberculosis and M. leprae is crucial. In this review we describe structure-guided approaches to understanding the impacts of mutations that give rise to antimycobacterial resistance and the use of this information in the design of new medicines.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article