Journal article
Combining structure and genomics to understand antimicrobial resistance
Tanushree Tunstall, Stephanie Portelli, Jody Phelan, Taane G Clark, David B Ascher, Nicholas Furnham
Computational and Structural Biotechnology Journal | ELSEVIER | Published : 2020
Abstract
Antimicrobials against bacterial, viral and parasitic pathogens have transformed human and animal health. Nevertheless, their widespread use (and misuse) has led to the emergence of antimicrobial resistance (AMR) which poses a potentially catastrophic threat to public health and animal husbandry. There are several routes, both intrinsic and acquired, by which AMR can develop. One major route is through non-synonymous single nucleotide polymorphisms (nsSNPs) in coding regions. Large scale genomic studies using high-throughput sequencing data have provided powerful new ways to rapidly detect and respond to such genetic mutations linked to AMR. However, these studies are limited in their mechan..
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Grants
Awarded by BBSRC PhD studentship (BBSRC)
Awarded by Newton Institutional Links Grant (British Council)
Awarded by Medical Research Council UK
Awarded by BBSRC
Awarded by Jack Brockhoff Foundation
Awarded by Fundacao de Amparo a Pesquisa do Estado de Minas Gerais (FAPEMIG)
Awarded by National Health and Medical Research Council of Australia
Funding Acknowledgements
TT is supported by a BBSRC PhD studentship (BBSRC No: BB/S507544/1). SP is supported by an Australian Government Research Training Program Scholarship. JP is funded by a Newton Institutional Links Grant (British Council. 261868591). TGC is funded by the Medical Research Council UK (Grant no. MR/M01360X/1, MR/N010469/1, MR/R025576/1, and MR/R020973/1) and BBSRC (Grant no. BB/R013063/1). DBA is supported by the Jack Brockhoff Foundation [JBF 4186, 2016], a Newton Fund RCUKCONFAP Grant awarded by The Medical Research Council (MRC) and Fundacao de Amparo a Pesquisa do Estado de Minas Gerais (FAPEMIG) [MR/M026302/1] and the National Health and Medical Research Council of Australia [GNT1174405]. We thank Charlotte Ecclestone for her input on the Rosetta tool included in Table 1.