Evidence map›Paper›PMID 19646858›Full record

ReviewCurrent opinion in structural biology2009

Computational design of affinity and specificity at protein-protein interfaces.

John Karanicolas, Brian Kuhlman

Abstract readReview
In one paragraph

Review in Current opinion in structural biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing 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

70 citing papers in PubMed.

  1. Article
  2. Assembly and Functionality of 2D Protein Arrays.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Improving T Cell Receptor On-Target Specificity via Structure-Guided Design.Molecular therapy : the journal of the American Society of Gene Therapy · 2019
    Article
  10. Article
  11. Review
  12. Peptide design by optimization on a data-parameterized protein interaction landscape.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  13. Review
  14. Article
  15. Article
  16. Cyclic oligomer design with de novo αβ-proteins.Protein science : a publication of the Protein Society · 2017
    Article
  17. Review
  18. Discovery of peptide ligands through docking and virtual screening at nicotinic acetylcholine receptor homology models.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  19. Article
  20. Article

10 more citing papers are in PubMed but not listed here.

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.

John KaranicolasCenter for Bioinformatics and Department of Molecular Biosciences, 1200 Sunnyside Avenue, University of Kansas, Lawrence, KS 66045-7534, USA.
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 R01 GM073960NIGMS NIH HHS R01GM073960
6 · The paper itself

Abstract

The computer-based design of protein-protein interactions is a rigorous test of our understanding of molecular recognition and an attractive approach for creating novel tools for cell and molecular research. Considerable attention has been placed on redesigning the affinity and specificity of naturally occurring interactions. Several studies have shown that reducing the desolvation costs for binding while preserving shape complimentarity and hydrogen bonding is an effective strategy for improving binding affinities. In favorable cases specificity has been designed by focusing only on interactions with the target protein, while in cases with closely related off-target proteins it has been necessary to explicitly disfavor unwanted binding partners. The rational design of protein-protein interactions from scratch is still an unsolved problem, but recent developments in flexible backbone design and energy functions hold promise for the future.

Indexed as

Models, MolecularComputer SimulationProtein BindingProtein EngineeringProteinsSubstrate SpecificityProteins

Identifiers

PMID19646858
PMCPMC2882636

What OpenQuestion holds

Textmetadata
LicenceTDM
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.