Viral Entry Receptor Sensitivity AnalysisVERSA (Viral Entry Receptor Sensitivity Analysis) is a computational platform designed to analyse the sensitivity of viral fusion efficiencies as a function of surface receptor expression. Although other viral systems will be added, the current application analyzes the fusion of different strains of HIV-1 and SIV using the 293-Affinofile cell line developed by Dr. Benhur Lee. In this system, the cell surface receptor CD4 and coreceptor CCR5 can be nearly independently varied, and the HIV fusion efficiency is measured as a function of both surface receptor and coreceptor. Our analysis returns a sensitivity vector describing the relative sensitivity of fusion to receptor and coreceptor, for any particular strain.
EZ Data Analysis Form
Use this EZ form to get a quick sensitivity analysis of your data (note only one dataset should be used with this form). Detailed examples of formatting are provided in the Instructions. This form assumes that the uploaded file is a comma delimited file (.csv) with one of the following two characteristics:- The first element of the file (i.e. first row , first column) should be a string containing a brief description of the data set. The remaining elements of the first row and the first column contain the numerical values of receptors concentrations (e.g. CD4 and CCR5). The remainder of the file contains the experimental data (e.g. RLU). If this is the case select 1 in the Number Of Headers part below. Click here to see a sample of a file with 1 header.
- The first element of the file (i.e. first row , first column) should be a string containing a brief description of the data set. The second element of the first row, the second element of the first column, and the second elemnt of the second row should alse be strings (e.g. "Mino", "PonA", "CD4/CCR5" respectively). The remaining elements of the first and second rows, and the first and second columns contain the numerical values of receptors concentrations (e.g. CD4 and CCR5). The remainder of the file contains the experimental data (e.g. RLU). If this is the case select 2 in the Number Of Headers part below. Click here to see a sample of a file with 2 headers.