Consensus and ancestral state HIV vaccines [2]

David C. Nickle*, Mark A. Jensen, Geoffrey S. Gottlieb, Daniel Shriner, Gerald H. Learn, Allen G. Rodrigo, James I. Mullins, F. Gao, T. Bhattacharya, B. Gaschen, J. Taylor, J. P. Moore, V. Novitsky, K. Yusim, D. Lang, B. Foley, S. Beddows, M. Alam, B. Haynes, B. H. HahnB. Korber

*Corresponding author for this work

Research output: Contribution to journalLetterpeer-review

117 Citations (Scopus)

Abstract

The review by B. Gaschen et al. (Diversity considerations in HIV-1 vaccine selection, 28 June, p. 2354) describes two computational methods (consensus and ancestral state) being considered for developing vaccine antigens against HIV. These methods attempt to minimize the amount of sequence divergence (distance) between the antigen and contemporaneously circulating viruses. Both methods do well at minimizing these distances when the sequences used to estimate the potential vaccine come from a symmetric phylogeny (panels A and B of the figure), similar to those examined in their Review. However, if sequences used to estimate the potential vaccine come from asymmetric phylogenies (panels C and D), then both methods generate sequences that poorly minimize these distances, making for a potentially poor vaccine antigen.
Original languageEnglish
Pages (from-to)1515-1518
Number of pages4
JournalScience
Volume299
Issue number5612
Publication statusPublished - 7 Mar 2003
Externally publishedYes

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