Evidence map›Paper›PMID 20972421›Full record

ArticleNature biotechnology2010

Spatially addressed combinatorial protein libraries for recombinant antibody discovery and optimization.

Hongyuan Mao, James J Graziano, Tyson M A Chase, Cornelia A Bentley, Omar A Bazirgan, Neil P Reddy, Byeong Doo Song, Vaughn V Smider

Abstract read
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In one paragraph

Article in Nature biotechnology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Antibody Therapeutics in Oncology.Immunotherapy (Los Angeles, Calif.) · 2016
    Article
  3. Fc-Small Molecule Antibody Mimetics.Bioconjugate chemistry · 2015
    Article
  4. Article
  5. Review
  6. In vitro Fab display: a cell-free system for IgG discovery.Protein engineering, design & selection : PEDS · 2014
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Making antibodies from scratch.Nature biotechnology · 2010
    Article
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Hongyuan MaoFabrus LLC, La Jolla, California, USA.
James J Graziano
Tyson M A Chase
Cornelia A Bentley
Omar A Bazirgan
Neil P Reddy
Byeong Doo Song
Vaughn V Smider

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibody discovery typically uses hybridoma- or display-based selection approaches, which lack the advantages of directly screening spatially addressed compound libraries as in small-molecule discovery. Here we apply the latter strategy to antibody discovery, using a library of ∼10,000 human germline antibody Fabs created by de novo DNA synthesis and automated protein expression and purification. In multiplexed screening assays, we obtained specific hits against seven of nine antigens. Using sequence-activity relationships and iterative mutagenesis, we optimized the binding affinities of two hits to the low nanomolar range. The matured Fabs showed full and partial antagonism activities in cell-based assays. Thus, protein drug leads can be discovered using surprisingly small libraries of proteins with known sequences, questioning the requirement for billions of members in an antibody discovery library. This methodology also provides sequence, expression and specificity information at the first step of the discovery process, and could enable novel antibody discovery in functional screens.

Indexed as

Peptide LibraryAmino Acid SequenceAnimalsAntibodiesBinding SitesCHO CellsCombinatorial Chemistry TechniquesCricetinaeCricetulusEpitope MappingHumansImmunoglobulin Fab FragmentsIntracellular Signaling Peptides and ProteinsLuminescent MeasurementsMembrane ProteinsMolecular Sequence DataAntibodiesdelta proteinImmunoglobulin Fab FragmentsIntracellular Signaling Peptides and ProteinsMembrane ProteinsPeptide LibraryRecombinant Proteins

Identifiers

PMID20972421

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.