Evidence map›Paper›PMID 23422435›Full record

ArticleMethods in enzymology2013

Generation of high-performance binding proteins for peptide motifs by affinity clamping.

Shohei Koide, Jin Huang

Abstract read
In one paragraph

Article in Methods in enzymology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Binding mode-guided development of high-performance antibodies targeting site-specific posttranslational modifications.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. Generating FN3-Based Affinity Reagents Through Phage Display.Current protocols in chemical biology · 2018
    Article
  3. 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

2 authors.

Shohei KoideDepartment of Biochemistry and Molecular Biology, The University of Chicago, Chicago, Illinois, USA. skoide@uchicago.edu
Jin Huang

Funding

Rational generation of directed protein-capture reagentsR01GM090324 · NIGMS · UNIVERSITY OF CHICAGO · PI KOIDE, SHOHEI · 2009 to 2013
$2.6M
NIGMS NIH HHS R01 GM090324NIGMS NIH HHS R01-GM090324
6 · The paper itself

Abstract

We describe concepts and methodologies for generating "Affinity Clamps," a new class of recombinant binding proteins that achieve high affinity and high specificity toward short peptide motifs of biological importance, which is a major challenge in protein engineering. The Affinity Clamping concept exploits the potential of nonhomologous recombination of protein domains in generating large changes in protein function and the inherent binding affinity and specificity of the so-called modular interaction domains toward short peptide motifs. Affinity Clamping creates a clamshell architecture that clamps onto a target peptide. The design processes involve (i) choosing a starting modular interaction domain appropriate for the target and applying structure-guided modifications; (ii) attaching a second domain, termed "enhancer domain"; and (iii) optimizing the peptide-binding site located between the domains by directed evolution. The two connected domains work synergistically to achieve high levels of affinity and specificity that are unattainable with either domain alone. Because of the simple and modular architecture, Affinity Clamps are particularly well suited as building blocks for designing more complex functionalities. Affinity Clamping represents a major advance in protein design that is broadly applicable to the recognition of peptide motifs.

Indexed as

Carrier ProteinsDirected Molecular EvolutionPeptidesProtein BindingCarrier ProteinsPeptides

Identifiers

PMID23422435
PMCPMC3757518

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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.