Evidence map›Paper›PMID 27334453›Full record

ArticleProtein engineering, design & selection : PEDS2016

Computationally driven antibody engineering enables simultaneous humanization and thermostabilization.

Yoonjoo Choi, Christian Ndong, Karl E Griswold, Chris Bailey-Kellogg

Abstract read
In one paragraph

Article in Protein engineering, design & selection : PEDS, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Design and engineering of deimmunized biotherapeutics.Current opinion in structural biology · 2016
    Review
  11. 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.

Yoonjoo ChoiDepartment of Computer Science, Dartmouth College, Hanover, NH 03755, USA.
Christian NdongThayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA.
Karl E GriswoldThayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA.
Chris Bailey-KelloggDepartment of Computer Science, Dartmouth College, Hanover, NH 03755, USA.

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 GM098977
6 · The paper itself

Abstract

Humanization reduces the immunogenicity risk of therapeutic antibodies of non-human origin. Thermostabilization can be critical for clinical development and application of therapeutic antibodies. Here, we show that the computational antibody redesign method Computationally Driven Antibody Humanization (CoDAH) enables these two goals to be accomplished simultaneously and seamlessly. A panel of CoDAH designs for the murine parent of cetuximab, a chimeric anti-EGFR antibody, exhibited both substantially improved thermostabilities and substantially higher levels of humanness, while retaining binding activity near the parental level. The consistently high quality of the turnkey CoDAH designs, over a whole panel of variants, suggests that the computationally directed approach encapsulates key determinants of antibody structure and function.

Indexed as

TemperatureAntibodies, Monoclonal, HumanizedComputational BiologyErbB ReceptorsHumansProtein EngineeringProtein StabilityAntibodies, Monoclonal, HumanizedErbB Receptorsantibodycetuximabcomputational protein designhumanizationthermostability

Identifiers

PMID27334453
PMCPMC5036863

What OpenQuestion holds

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Registered trials

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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.