Evidence map›Paper›PMID 29677181›Full record

ArticlePLoS computational biology2018

Exploiting glycan topography for computational design of Env glycoprotein antigenicity.

Wen-Han Yu, Peng Zhao, Monia Draghi, Claudia Arevalo, Christina B Karsten, Todd J Suscovich, Bronwyn Gunn, Hendrik Streeck, Abraham L Brass, Michael Tiemeyer and 5 more

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

21 citing papers in PubMed, 27 citations in OpenAlex.

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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

15 authors at 6 institutions in 2 countries.

Wen-Han YuRagon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, United States of America.
Peng ZhaoComplex Carbohydrate Research Center, Department of Biochemistry and Molecular Biology, The University of Georgia, Athens, Georgia, United States of America.ORCID 0000-0002-9296-5293
Monia DraghiRagon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, United States of America.
Claudia ArevaloRagon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, United States of America.
Christina B KarstenRagon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, United States of America.
Todd J SuscovichRagon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, United States of America.
Bronwyn GunnRagon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, United States of America.
Hendrik StreeckInstitute for HIV Research, University Hospital Essen, University Duisburg-Essen, Essen, Germany.
Abraham L BrassDepartment of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, MA, United States of America.
Michael TiemeyerComplex Carbohydrate Research Center, Department of Biochemistry and Molecular Biology, The University of Georgia, Athens, Georgia, United States of America.
Michael SeamanBeth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America.
John R MascolaVaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States of America.
Lance WellsComplex Carbohydrate Research Center, Department of Biochemistry and Molecular Biology, The University of Georgia, Athens, Georgia, United States of America.
Douglas A LauffenburgerRagon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, United States of America.ORCID 0000-0002-0050-989X
Galit AlterRagon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, United States of America.
Ragon Institute of MGH, MIT and Harvard · USUniversity of Georgia · USBeth Israel Deaconess Medical Center · USNational Institutes of Health · USUniversity of Duisburg-Essen · DEUniversity of Massachusetts Chan Medical School · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mounting evidence suggests that glycans, rather than merely serving as a "shield", contribute critically to antigenicity of the HIV envelope (Env) glycoprotein, representing critical antigenic determinants for many broadly neutralizing antibodies (bNAbs). While many studies have focused on defining the role of individual glycans or groups of proximal glycans in bNAb binding, little is known about the effects of changes in the overall glycan landscape in modulating antibody access and Env antigenicity. Here we developed a systems glycobiology approach to reverse engineer the complexity of HIV glycan heterogeneity to guide antigenicity-based de novo glycoprotein design. bNAb binding was assessed against a panel of 94 recombinant gp120 monomers exhibiting defined glycan site occupancies. Using a Bayesian machine learning algorithm, bNAb-specific glycan footprints were identified and used to design antigens that selectively alter bNAb antigenicity as a proof-of concept. Our approach provides a new design strategy to predictively modulate antigenicity via the alteration of glycan topography, thereby focusing the humoral immune response on sites of viral vulnerability for HIV.

Indexed as

AlgorithmsAmino Acid SequenceAntibodies, NeutralizingBayes TheoremBinding SitesComputational BiologyEpitopesGlycosylationHIVHIV AntibodiesHIV AntigensHIV Envelope Protein gp120HumansMachine LearningModels, MolecularPolysaccharidesAntibodies, NeutralizingEpitopesHIV AntibodiesHIV AntigensHIV Envelope Protein gp120PolysaccharidesRecombinant Proteins

Identifiers

PMID29677181
PMCPMC5931682
OpenAlexW2799705155

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.