Evidence map›Paper›PMID 24059499›Full record

ReviewBiochemical Society transactions2013

Using anchoring motifs for the computational design of protein-protein interactions.

Timothy M Jacobs, Brian Kuhlman

Abstract readReview
In one paragraph

Review in Biochemical Society transactions, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Artificial intelligence in bioinformatics: a survey.Briefings in bioinformatics · 2025
    Review
  2. Article
  3. Tertiary motifs as building blocks for the design of protein-binding peptides.Protein science : a publication of the Protein Society · 2022
    Article
  4. Article
  5. Article
  6. Rational design of TNFα binding proteins based on the de novo designed protein DS119.Protein science : a publication of the Protein Society · 2016
    Article
  7. 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

2 authors.

Timothy M Jacobs*Department of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, U.S.A.
Brian Kuhlman

Funding

Designing Affinity and Specificity at Protein InterfacesR01GM073960 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KUHLMAN, BRIAN A · 2005 to 2018
$3.1M
NIGMS NIH HHS GM073960NIGMS NIH HHS R01 GM073960
6 · The paper itself

Abstract

The computer-based design of PPIs (protein-protein interactions) is a challenging problem because large desolvation and entropic penalties must be overcome by the creation of favourable hydrophobic and polar contacts at the target interface. Indeed, many computationally designed interactions fail to form when tested in the laboratory. In the present article, we highlight strategies our laboratory has been pursuing to make interface design more tractable. Our general approach has been to make use of structural motifs found in native proteins that are predisposed to interact with a particular binding geometry, and then further bolster these anchor points with favourable hydrophobic contacts. We describe the use of three different anchor points, i.e. β-strand pairing, metal binding and the docking of α-helix into a groove, to successfully design new interfaces. In several cases, high-resolution crystal structures show that the design models closely match the experimental structure. In addition, we have tested the use of buried hydrogen-bond networks as a source of affinity and specificity at interfaces. In these cases, the designed complexes did not form, highlighting the challenges associated with designing buried polar interactions.

Indexed as

Protein Interaction MapsAmino Acid MotifsComputational BiologyHumansHydrogen BondingHydrophobic and Hydrophilic InteractionsProtein BindingProtein ConformationProteinsProteins

Identifiers

PMID24059499
PMCPMC4112732

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.