標題: A new tool linking human cytomegalovirus drug resistance mutations to resistance phenotypes
作者: Chevillotte, Meike
von Einem, Jens
Meier, Benjamin M.
Lin, Feng-Mao
Kestler, Hans A.
Mertens, Thomas
生物資訊及系統生物研究所
Institude of Bioinformatics and Systems Biology
關鍵字: UL97;UL54;Genotype;Clinical outcome;HCMV;GCV;CDV;FOS
公開日期: 1-二月-2010
摘要: Drug resistant strains of human cytomegalovirus (HCMV) in patients at risk may increasingly develop into a problem in the clinical setting. Genotypic resistance testing is becoming the method of choice, but requires previous phenotypic characterisation of each newly found mutation. In order to facilitate the interpretation of the patient's CMV sequence data, a web-based search tool was generated that links the sequence to a database containing all published UL97 (protein kinase) and UL54 (DNA polymerase) mutations and corresponding antiviral drug susceptibility phenotypes. It is reasonable to assume that HCMV drug resistance testing will provide relevant data for an adjustment of therapy and on prognosis of clinical outcome. HCMV drug susceptibility testing will become even more important once new drugs will be available for therapy allowing a wider choice of antiviral agents to treat HCMV disease. These topics will also play a pivotal role for optimising antiviral therapy of HCMV- and other viral diseases. (C) 2009 Elsevier B.V. All rights reserved.
URI: http://dx.doi.org/10.1016/j.antiviral.2009.10.004
http://hdl.handle.net/11536/5855
ISSN: 0166-3542
DOI: 10.1016/j.antiviral.2009.10.004
期刊: ANTIVIRAL RESEARCH
Volume: 85
Issue: 2
起始頁: 318
結束頁: 327
顯示於類別:期刊論文


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  1. 000274748900001.pdf