The article "Identifying Conserved Regions in HIV-1 Proteins by Entropy Analysis of Sequence Variability," prepared by Institute scientists (Alexander Shchemelev, Elena Serikova, Yulia Ostankova, Vladimir Davydenko, Edward Ramsay and Areg Totolian), has been published in the International Journal of Molecular Sciences (MDPI Publishing House).
The aim of the research described in the article was to develop and validate a bioinformatics algorithm for the quantitative assessment of sequence conservation and automated identification of functionally significant conserved regions in all major proteins of human immunodeficiency virus type 1 (HIV-1). A total of 1119 full-length HIV-1 genome sequences were analyzed, representing the main subtypes (A1, A2, A6, B, C, D, F1, F2, G, H, J, K).
Identifying Conserved Regions in HIV-1 Proteins by Entropy Analysis of Sequence Variability