tailieunhanh - Báo cáo y học: " Comparative analysis of cell culture and prediction algorithms for phenotyping of genetically diverse HIV-1 strains from Cameroon"

Comparative analysis of cell culture and prediction algorithms for phenotyping of genetically diverse HIV-1 strains from Cameroon | AIDS Research and Therapy BioMed Central Open Access Short report Comparative analysis of cell culture and prediction algorithms for phenotyping of genetically diverse HIV-1 strains from Cameroon Viswanath Ragupathy1 Jiangqin Zhao1 Xue Wang1 Owen Wood1 Sherwin Lee1 Sherri Burda2 Phillipe Nyambi2 and Indira Hewlett 1 Address laboratory of Molecular Virology Center for Biologics Evaluation and Research Food and Drug Administration Bethesda MD 20892 USA and 2Department of Pathology NYU School of Medicine 550 First Avenue Medical Sciences Building 5th Floor New York NY 10016 423 USA Email Viswanath Ragupathy - Jiangqin Zhao - Xue Wang - Owen Wood - Sherwin Lee - Sherri Burda - Phillipe Nyambi - Indira Hewlett - Corresponding author Published 25 November 2009 Received 28 July 2009 . A -n AAAO J - IA I I ox 11 n A Ji AC - -1 Accepted 25 November 2009 AIDS Research and Therapy 2009 6 27 doi 1742-6405-6-27 This article is available from http content 6 1 27 2009 Ragupathy et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract_ Background With the advent of entry inhibitors monitoring of viral tropism in the clinical setting is important. Conventional methods are cell-based and lengthy therefore V3 sequence based prediction algorithms are becoming increasingly attractive as monitoring tools. Here we report a comparative analysis of viral tropism of strains circulating in Cameroon where diverse and .