Evidence map›Paper›PMID 23731800›Full record

ReviewCurrent opinion in structural biology2013

Strategies to control the binding mode of de novo designed protein interactions.

Bryan S Der, Brian Kuhlman

Abstract readReview
In one paragraph

Review in Current opinion in structural biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Computational Design of PDZ-Peptide Binding.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  4. Fabrication of Pascal-triangle Lattice of Proteins by Inducing Ligand Strategy.Angewandte Chemie (International ed. in English) · 2020
    Article
  5. Article
  6. Rapid Sampling of Hydrogen Bond Networks for Computational Protein Design.Journal of chemical theory and computation · 2018
    Article
  7. Rational design of TNFα binding proteins based on the de novo designed protein DS119.Protein science : a publication of the Protein Society · 2016
    Article
  8. Algorithms for protein design.Current opinion in structural biology · 2016
    Review
  9. Article
  10. 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.

Bryan S DerDepartment of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.
Brian Kuhlman

Funding

MOLECULAR AND CELLULAR BIOPHYSICS TRAINING PROGRAMT32GM008570 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KUHLMAN, BRIAN A, SLEP, KEVIN C · 1995 to 2022
$5.1M
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 GM073960NIGMS NIH HHS T32 GM008570NIGMS NIH HHS T32GM008570
6 · The paper itself

Abstract

There has been significant recent progress in the computational design of protein interactions including the creation of novel heterodimers, homodimers, nanohedra, fibril caps and a protein crystal. Essential to these successes has been the use of innovative strategies for finding binding modes that are achievable, that is, identifying binding partners and docked conformations that can be successfully stabilized via sequence optimization and backbone refinement. In many cases this has involved the use of structural motifs commonly found at naturally occurring interfaces including alpha helices inserted into hydrophobic grooves, beta-strand pairing, metal binding, established helix packing motifs, and the use of symmetry to form cooperative interactions. Future challenges include the creation of hydrogen bond networks and antibody-like interactions based on the redesign of protein surface loops.

Indexed as

Protein MultimerizationBinding SitesHydrogen BondingHydrophobic and Hydrophilic InteractionsModels, MolecularProtein BindingProtein ConformationProtein EngineeringProteinsStatic ElectricityProteins

Identifiers

PMID23731800
PMCPMC3737258

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.