Diversity Considerations in HIV-1 Vaccine Selection
By B. Gaschen, J. Taylor, K. Yusim, B. Foley, F. Gao, Dorothy M. Lang, V. Novitsky, B. Haynes, Beatrice H. Hahn, Tanmoy Bhattacharya and 1 more. Science, 2002
873 citations recorded by the source corpus.
Subfields: Hepatology, Molecular Biology, Virology
View Paper: https://www.semanticscholar.org/paper/b9a1747a1e80de34cef71c48ca7d8f51a31c2e67
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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Hepatology
In Molecular Biology
- David Posada
- Sergei L. Kosakovsky Pond
- Simon D. W. Frost
- Art F. Y. Poon
- Fraser Iain Lewis
- Edward C. Holmes
- Keith A. Crandall
- Haim Ashkenazy
In Virology
- Sergei L. Kosakovsky Pond
- Simon D. W. Frost
- Art F. Y. Poon
- Andrew Rambaut
- Beatrice H. Hahn
- Edward C. Holmes
- G. Hewitt
- De-Xing Zhang
Citations in the corpus
- Global trends in molecular epidemiology of HIV-1 during 2000–2007 (2011, background): “This diversity may be addressed by the use of consensus, ancestral, centre-of-tree or mosaic sequences in vaccines [20,28].”
- Evidence of HIV-1 Adaptation to HLA-Restricted Immune Responses at a Population Level (2002, methodology): “Some authors have speculated that the common HLA alleles in a population influence the consensus virus found in that population.(20,21) Indeed this appears to be the case in other viruses,(22-25) but it has not been shown in HIV-1.”
- Spin models inferred from patient-derived viral sequence data faithfully describe HIV fitness landscapes (2013, neutral): “20 29 v1 [ ph ys ic s. bi o- ph ] 9 J un 2 01 3 Spin models inferred from patient data faithfully describe HIV fitness landscapes and enable rational vaccine design Karthik Shekhar,1, 2 Claire F. Ruberman,3 Andrew L. Ferguson,4 John P. Barton,1, 2 Mehran Kardar,5, ∗ and Arup K. Chakraborty1,2, 5,…”
- The Los Alamos hepatitis C sequence database (2005, background): “…a renewed interest in rational vaccine design, a relatively new discipline that attempts to define the optimal vaccine strain, possibly an artificially created one, that minimizes the differences from the circulating strains while maximizing the immunogenicity of the reagent (Gaschen et al., 2002).”
- FastML: a web server for probabilistic reconstruction of ancestral sequences (2012, background): “ASR was also applied in various other contexts, including protein engineering (4), the study of HIV evolution (5) and the study of variation in DNA turnover due to indels and substitutions among eutherian mammalian lineages (6).”
- An Evolutionary-Network Model Reveals Stratified Interactions in the V3 Loop of the HIV-1 Envelope (2007, background): “Second, the identification of interacting residues may be applied toward defining a minimal set of HIV-1 protein sequences to be incorporated into a broadly reactive vaccine [17,18].”
- The causes and consequences of HIV evolution (2004, background): “As such, these data make it clear that, despite attempts to characterize genetic diversity in the USA for HIV vaccine developmen”
- Human Immunodeficiency Virus Type 1 env Clones from Acute and Early Subtype B Infections for Standardized Assessments of Vaccine-Elicited Neutralizing Antibodies (2005, background): “recognized by broadly cross-reactive neutralizing Abs (23, 27, 50, 60, 70, 81, 100, 124); and (vi) polyvalent Env, polyvalent peptides, and consensus and ancestral Env to minimize the genetic and antigenic differences between vaccine strains and field isolates (19, 38, 39, 79).”