Evidence map›Paper›PMID 25655032›Full record

ArticleBiotechnology and bioengineering2015

Protein deimmunization via structure-based design enables efficient epitope deletion at high mutational loads.

Regina S Salvat, Yoonjoo Choi, Alexandra Bishop, Chris Bailey-Kellogg, Karl E Griswold

Abstract readValidation Study
In one paragraph

Article in Biotechnology and bioengineering, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
7.2field-weighted citation impact, top 3% 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

25 citing papers in PubMed, 32 citations in OpenAlex.

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  12. Computationally optimized deimmunization libraries yield highly mutated enzymes with low immunogenicity and enhanced activity.Proceedings of the National Academy of Sciences of the United States of America · 2017
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  18. Design and engineering of deimmunized biotherapeutics.Current opinion in structural biology · 2016
    Review
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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

5 authors at 2 institutions in 1 country.

Regina S SalvatThayer School of Engineering, Dartmouth, 14 Engineering Dr., Hanover, New Hampshire, 03755.
Yoonjoo ChoiDepartment of Computer Science, Dartmouth, 6211 Sudikoff Laboratory, Hanover, New Hampshire, 03755.
Alexandra BishopColby College, Waterville, Maine.
Chris Bailey-KelloggDepartment of Computer Science, Dartmouth, 6211 Sudikoff Laboratory, Hanover, New Hampshire, 03755. cbk@cs.dartmouth.edu.
Karl E GriswoldThayer School of Engineering, Dartmouth, 14 Engineering Dr., Hanover, New Hampshire, 03755. karl.e.griswold@dartmouth.edu.
Dartmouth College · USColby College · US

Funding

Functional Deimmunization of Therapeutic ProteinsR01GM098977 · NIGMS · DARTMOUTH COLLEGE · PI BAILEY-KELLOGG, CHRIS, GRISWOLD, KARL E · 2011 to 2019
$3.4M
NIGMS NIH HHS R01 GM098977NIGMS NIH HHS R01-GM-098977
6 · The paper itself

Abstract

Anti-drug immune responses are a unique risk factor for biotherapeutics, and undesired immunogenicity can alter pharmacokinetics, compromise drug efficacy, and in some cases even threaten patient safety. To fully capitalize on the promise of biotherapeutics, more efficient and generally applicable protein deimmunization tools are needed. Mutagenic deletion of a protein's T cell epitopes is one powerful strategy to engineer immunotolerance, but deimmunizing mutations must maintain protein structure and function. Here, EpiSweep, a structure-based protein design and deimmunization algorithm, has been used to produce a panel of seven beta-lactamase drug candidates having 27-47% reductions in predicted epitope content. Despite bearing eight mutations each, all seven engineered enzymes maintained good stability and activity. At the same time, the variants exhibited dramatically reduced interaction with human class II major histocompatibility complex proteins, key regulators of anti-drug immune responses. When compared to 8-mutation designs generated with a sequence-based deimmunization algorithm, the structure-based designs retained greater thermostability and possessed fewer high affinity epitopes, the dominant drivers of anti-biotherapeutic immune responses. These experimental results validate the first structure-based deimmunization algorithm capable of mapping optimal biotherapeutic design space. By designing optimal mutations that reduce immunogenic potential while imparting favorable intramolecular interactions, broadly distributed epitopes may be simultaneously targeted using high mutational loads.

Indexed as

Sequence DeletionAntigensbeta-LactamasesBiological ProductsComputational BiologyDrug DesignEpitopes, T-LymphocyteHumansProteinsAntigensbeta-LactamasesBiological ProductsEpitopes, T-LymphocyteProteinsbiotherapeuticscomputational protein designdeimmunizationimmunogenicityT cell epitope deletion

Identifiers

PMID25655032
PMCPMC4452428
OpenAlexW1951430606

What OpenQuestion holds

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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.