Evidence map›Paper›PMID 20949103›Full record

ArticlePLoS computational biology2010

Genetic signatures in the envelope glycoproteins of HIV-1 that associate with broadly neutralizing antibodies.

S Gnanakaran, Marcus G Daniels, Tanmoy Bhattacharya, Alan S Lapedes, Anurag Sethi, Ming Li, Haili Tang, Kelli Greene, Hongmei Gao, Barton F Haynes and 7 more

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed
3.5field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

69 citing papers in PubMed, 83 citations in OpenAlex.

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9 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 6 institutions in 1 country.

S GnanakaranTheoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico, USA.
Marcus G Daniels
Tanmoy Bhattacharya
Alan S Lapedes
Anurag Sethi
Ming Li
Haili Tang
Kelli Greene
Hongmei Gao
Barton F Haynes
Myron S Cohen
George M Shaw
Michael S Seaman
Amit Kumar
Feng Gao
David C Montefiori
Bette Korber
Duke Medical Center · USLos Alamos National Laboratory · USBeth Israel Deaconess Medical Center · USSanta Fe Institute · USUniversity of Alabama at Birmingham · USUniversity of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A steady increase in knowledge of the molecular and antigenic structure of the gp120 and gp41 HIV-1 envelope glycoproteins (Env) is yielding important new insights for vaccine design, but it has been difficult to translate this information to an immunogen that elicits broadly neutralizing antibodies. To help bridge this gap, we used phylogenetically corrected statistical methods to identify amino acid signature patterns in Envs derived from people who have made potently neutralizing antibodies, with the hypothesis that these Envs may share common features that would be useful for incorporation in a vaccine immunogen. Before attempting this, essentially as a control, we explored the utility of our computational methods for defining signatures of complex neutralization phenotypes by analyzing Env sequences from 251 clonal viruses that were differentially sensitive to neutralization by the well-characterized gp120-specific monoclonal antibody, b12. We identified ten b12-neutralization signatures, including seven either in the b12-binding surface of gp120 or in the V2 region of gp120 that have been previously shown to impact b12 sensitivity. A simple algorithm based on the b12 signature pattern was predictive of b12 sensitivity/resistance in an additional blinded panel of 57 viruses. Upon obtaining these reassuring outcomes, we went on to apply these same computational methods to define signature patterns in Env from HIV-1 infected individuals who had potent, broadly neutralizing responses. We analyzed a checkerboard-style neutralization dataset with sera from 69 HIV-1-infected individuals tested against a panel of 25 different Envs. Distinct clusters of sera with high and low neutralization potencies were identified. Six signature positions in Env sequences obtained from the 69 samples were found to be strongly associated with either the high or low potency responses. Five sites were in the CD4-induced coreceptor binding site of gp120, suggesting an important role for this region in the elicitation of broadly neutralizing antibody responses against HIV-1.

Indexed as

AlgorithmsAmino Acid SequenceAntibodies, NeutralizingArtificial IntelligenceCluster AnalysisComputational BiologyDNA Mutational AnalysisEpitope MappingEpitopes, T-LymphocyteHIV-1HIV Envelope Protein gp120HIV Envelope Protein gp41HumansLogistic ModelsModels, MolecularMutationAntibodies, NeutralizingEpitopes, T-LymphocyteHIV Envelope Protein gp120HIV Envelope Protein gp41

Identifiers

PMID20949103
PMCPMC2951345
OpenAlexW2102254707

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.