Evidence map›Paper›PMID 29897567›Full record

ArticleProtein engineering, design & selection : PEDS2018

Towards conformational fidelity of a quaternary HIV-1 epitope: computational design and directed evolution of a minimal V1V2 antigen.

Jennifer I Lai, Deeptak Verma, Chris Bailey-Kellogg, Margaret E Ackerman

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In one paragraph

Article in Protein engineering, design & selection : PEDS, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Protein ensembles link genotype to phenotype.PLoS computational biology · 2019
    Review
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

4 authors at 1 institution in 1 country.

Jennifer I LaiThayer School of Engineering, Dartmouth College, 14 Engineering Dr, Hanover NH, USA.
Deeptak VermaDepartment of Computer Science, Dartmouth College, 9 Maynard St, Hanover NH, USA.
Chris Bailey-KelloggDepartment of Computer Science, Dartmouth College, 9 Maynard St, Hanover NH, USA.
Margaret E AckermanThayer School of Engineering, Dartmouth College, 14 Engineering Dr, Hanover NH, USA.
Dartmouth College · US

Funding

Applying High-Performance Protein Engineering Tools to HIV Immunogen DesignR01AI102691 · NIAID · DARTMOUTH COLLEGE · PI ACKERMAN, MARGARET E · 2012 to 2015
$2.2M
NIAID NIH HHS R01 AI102691
6 · The paper itself

Abstract

Structure-based approaches to antigen design utilize insights from antibody (Ab):antigen interactions and a refined understanding of protective Ab responses to engineer novel antigens presenting epitopes with conformations relevant to eliciting or discovering protective humoral responses. For human immunodeficiency virus-1 (HIV-1), one model of protection is provided by broadly neutralizing Abs (bnAbs) against epitopes present in the closed prefusion trimeric conformation of HIV-1 envelope glycoprotein, such as the variable loops 1-2 (V1V2) apex. Here, computational design and directed evolution yielded a novel V1V2 sequence variant with potential utility for inclusion in an immunogen for eliciting bnAbs, or as an epitope probe for their detection. The computational design goal was to engineer a minimal single-chain antigen with three copies of the V1V2 loops to support maintenance of closed prefusion V1V2 trimeric conformation and presentation of bnAb epitopes. Via directed evolution of this computationally designed single-chain antigen, we isolated a V1V2 sequence variant that in monomeric form exhibited preferential recognition by quaternary-preferring and conformation-dependent mAbs. Structural context and transferability of this phenotype to V1V2 sequences from all strains of HIV-1 tested suggest a conformation-stabilizing effect. This example demonstrates the potential utility of computational design and directed evolution-based protein engineering strategies to develop minimal, conformation-stabilized epitope-specific antigens.

Indexed as

Directed Molecular EvolutionAmino Acid SequenceAntigens, ViralEpitopesHIV-1Immunity, HumoralModels, MolecularPoint MutationProtein ConformationViral Fusion ProteinsAntigens, ViralEpitopesViral Fusion Proteins

Identifiers

PMID29897567
PMCPMC6030936
OpenAlexW2808405028

What OpenQuestion holds

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LicenceCC BY
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.