Evidence map›Paper›PMID 28860479›Full record

ArticleScientific reports2017

De novo design of antibody complementarity determining regions binding a FLAG tetra-peptide.

Kevin C Entzminger, Jeong-Min Hyun, Robert J Pantazes, Athena C Patterson-Orazem, Ahlam N Qerqez, Zach P Frye, Randall A Hughes, Andrew D Ellington, Raquel L Lieberman, Costas D Maranas and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
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  5. Structural Classification of CDR-H3 in Single-Domain VMethods in molecular biology (Clifton, N.J.) · 2023
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  7. Review
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  9. Mass Spectrometry-BasedJournal of proteome research · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Engineering therapeutic antibodies to combat infectious diseases.Current opinion in chemical engineering · 2018
    Article
  15. Article
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

11 authors at 4 institutions in 1 country.

Kevin C EntzmingerDepartment of Molecular Biosciences, University of Texas at Austin, Austin, TX, 78712, USA.
Jeong-Min HyunDepartment of Molecular Biosciences, University of Texas at Austin, Austin, TX, 78712, USA.
Robert J PantazesDepartment of Chemical Engineering, Auburn University, Auburn, AL, 36849, USA.
Athena C Patterson-OrazemSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
Ahlam N QerqezDepartment of Chemical Engineering, University of Texas at Austin, Austin, TX, 78712, USA.
Zach P FryeDepartment of Chemical Engineering, University of Texas at Austin, Austin, TX, 78712, USA.
Randall A HughesApplied Research Laboratories, University of Texas at Austin, Austin, TX, 78712, USA.
Andrew D EllingtonDepartment of Molecular Biosciences, University of Texas at Austin, Austin, TX, 78712, USA.
Raquel L LiebermanSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
Costas D MaranasDepartment of Chemical Engineering, Pennsylvania State University, University Park, Pennsylvania, PA, 16802, USA.
Jennifer A MaynardDepartment of Molecular Biosciences, University of Texas at Austin, Austin, TX, 78712, USA. Maynard@che.utexas.edu.ORCID 0000-0002-0363-8486
The University of Texas at Austin · USGeorgia Institute of Technology · USAuburn University · USPennsylvania State University · US

Funding

Returning to the workforce supplement request for R01 GM095638R01GM095638 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI MAYNARD, JENNIFER A · 2010 to 2014
$1.3M
Crystal structure of signal peptide peptidase with engineered antibody fragmentR21DK091357 · NIDDK · GEORGIA INSTITUTE OF TECHNOLOGY · PI LIEBERMAN, RAQUEL L, MAYNARD, JENNIFER A · 2010 to 2011
$404k
NIDDK NIH HHS R21 DK091357NIGMS NIH HHS R01 GM095638
6 · The paper itself

Abstract

Computational antibody engineering efforts to date have focused on improving binding affinities or biophysical characteristics. De novo design of antibodies binding specific epitopes could greatly accelerate discovery of therapeutics as compared to conventional immunization or synthetic library selection strategies. Here, we employed de novo complementarity determining region (CDR) design to engineer targeted antibody-antigen interactions using previously described in silico methods. CDRs predicted to bind the minimal FLAG peptide (Asp-Tyr-Lys-Asp) were grafted onto a single-chain variable fragment (scFv) acceptor framework. Fifty scFvs comprised of designed heavy and light or just heavy chain CDRs were synthesized and screened for peptide binding by phage ELISA. Roughly half of the designs resulted in detectable scFv expression. Four antibodies, designed entirely in silico, bound the minimal FLAG sequence with high specificity and sensitivity. When reformatted as soluble antigen-binding fragments (Fab), these clones expressed well, were predominantly monomeric and retained peptide specificity. In both formats, the antibodies bind the peptide only when present at the amino-terminus of a carrier protein and even conservative peptide amino acid substitutions resulted in a complete loss of binding. These results support in silico CDR design of antibody specificity as an emerging antibody engineering strategy.

Indexed as

Models, MolecularAmino Acid SequenceAntibodies, MonoclonalAntibody AffinityBinding SitesComplementarity Determining RegionsGene LibraryImmunoglobulin Fab FragmentsOligopeptidesPeptide LibraryProtein BindingProtein ConformationQuantitative Structure-Activity RelationshipSingle-Chain AntibodiesAntibodies, MonoclonalComplementarity Determining RegionsFLAG peptideImmunoglobulin Fab FragmentsOligopeptidesPeptide LibrarySingle-Chain Antibodies

Identifiers

PMID28860479
PMCPMC5579192
OpenAlexW2749371397

What OpenQuestion holds

Textmetadata
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.