Evidence map›Paper›PMID 37421602›Full record

ArticleProtein science : a publication of the Protein Society2023

Computational design of N-linked glycans for high throughput epitope profiling.

Per Jr Greisen, Li Yi, Rong Zhou, Jian Zhou, Eva Johansson, Tiantang Dong, Haimo Liu, Laust B Johnsen, Søren Lund, L Anders Svensson and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
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  5. Computational design of N-linked glycans for high throughput epitope profiling.Protein science : a publication of the Protein Society · 2023
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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

14 authors at 3 institutions in 4 countries.

Per Jr GreisenDigital Science and Innovation, Novo Nordisk A/S, Seattle, USA.ORCID 0000-0003-4630-0044
Li YiGlobal Research Technologies, Novo Nordisk A/S, Maaloev, Denmark.
Rong ZhouDiscovery Technology China, Novo Nordisk Research Centre, Novo Nordisk A/S, Beijing, China.
Jian ZhouDiscovery Technology China, Novo Nordisk Research Centre, Novo Nordisk A/S, Beijing, China.
Eva JohanssonGlobal Research Technologies, Novo Nordisk A/S, Maaloev, Denmark.ORCID 0000-0001-9330-5169
Tiantang DongDiscovery Technology China, Novo Nordisk Research Centre, Novo Nordisk A/S, Beijing, China.
Haimo LiuDiscovery Technology China, Novo Nordisk Research Centre, Novo Nordisk A/S, Beijing, China.
Laust B JohnsenGlobal Research Technologies, Novo Nordisk A/S, Maaloev, Denmark.
Søren LundGlobal Research Technologies, Novo Nordisk A/S, Maaloev, Denmark.
L Anders SvenssonGlobal Research Technologies, Novo Nordisk A/S, Maaloev, Denmark.
Haisun ZhuDiscovery Technology China, Novo Nordisk Research Centre, Novo Nordisk A/S, Beijing, China.
Nidhin ThomasDigital Science and Innovation, Novo Nordisk A/S, Seattle, USA.
Zhiru YangDiscovery Technology China, Novo Nordisk Research Centre, Novo Nordisk A/S, Beijing, China.
Henrik ØstergaardGlobal Drug Discovery, Novo Nordisk A/S, Maaloev, Denmark.
Novo Nordisk (Denmark) · DKNovo Nordisk (Finland) · FINovo Nordisk (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Efficient identification of epitopes is crucial for drug discovery and design as it enables the selection of optimal epitopes, expansion of lead antibody diversity, and verification of binding interface. Although high-resolution low throughput methods like x-ray crystallography can determine epitopes or protein-protein interactions accurately, they are time-consuming and can only be applied to a limited number of complexes. To overcome these limitations, we have developed a rapid computational method that incorporates N-linked glycans to mask epitopes or protein interaction surfaces, thereby providing a mapping of these regions. Using human coagulation factor IXa (fIXa) as a model system, we computationally screened 158 positions and expressed 98 variants to test experimentally for epitope mapping. We were able to delineate epitopes rapidly and reliably through the insertion of N-linked glycans that efficiently disrupted binding in a site-selective manner. To validate the efficacy of our method, we conducted ELISA experiments and high-throughput yeast surface display assays. Furthermore, x-ray crystallography was employed to verify the results, thereby recapitulating through the method of N-linked glycans a coarse-grained mapping of the epitope.

Indexed as

Drug DiscoveryHigh-Throughput Screening AssaysEpitope MappingEpitopesHumansEpitopescomputational designepitope mappingN-linked glycansprotein-protein interactions

Identifiers

PMID37421602
PMCPMC10521239
OpenAlexW4383645990

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.