Recent advances in the structure-guided research and development of antimicrobial therapeutics

Nowadays the research and development of novel antimicrobial therapeutics is failing to meet market needs. Clearly, the historical approach of empirical screens for antimicrobial drug discovery is not robust enough to solve the problem of antimicrobial resistance as fighting multidrug resistance pat...

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Bibliographic Details
Published inBiodiscovery Vol. 20; pp. e14952 - 2
Main Authors Trifonov, Dimitar, Evers, Tom
Format Journal Article
LanguageEnglish
Published Sofia Pensoft Publishers 17.07.2017
Subjects
anti
Antimicrobial agents
Antimicrobial resistance
Computer applications
Crystallography
Drug development
Drug discovery
Electron microscopy
Image processing
Multidrug resistance
NMR
Nuclear magnetic resonance
R&D
Research & development
Structure-guided research and development
Tuberculosis
X-ray crystallography
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Summary:Nowadays the research and development of novel antimicrobial therapeutics is failing to meet market needs. Clearly, the historical approach of empirical screens for antimicrobial drug discovery is not robust enough to solve the problem of antimicrobial resistance as fighting multidrug resistance pathogens (e.g. K. pneumonia, M. tuberculosis etc.) requires the identification of new drug targets and new classes of therapeutic compounds. However, it has been shown recently that structure-guided research and development can be a viable drug discovery strategy for antimicrobials in terms of determining novel targets and new drug classes. Here, we discuss recent advances and trends in the field related to contemporary techniques for structural elucidation of proteins (X-ray crystallography, nuclear magnetic resonance and cryo electron microscopy) as well as supporting computational tools. Specifically we highlight hardware improvements aimed at overcoming the limitations of the before-mentioned approaches for determining the 3D structure of proteins. In terms of supporting software development the progress in image processing and virtual screening is brought up-to-date.
ISSN:2050-2966
2050-2966
DOI:10.3897/biodiscovery.20.e14952