Evidence map›Paper›PMID 23139141›Full record

ArticleProtein science : a publication of the Protein Society2013

A comparison of successful and failed protein interface designs highlights the challenges of designing buried hydrogen bonds.

P Benjamin Stranges, Brian Kuhlman

Abstract readComparative Study
In one paragraph

Article in Protein science : a publication of the Protein Society, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 153 papers.

0numbers the graph read from it
0cells of the map it votes in
153citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

153 citing papers in PubMed.

  1. Article
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  6. A Generative Neuro-Symbolic AI for Protein Sequence Design.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  12. Identification of 14-3-3 Proteins as Binding Partners of TRP Channels.Journal of chemical information and modeling · 2026
    Article
  13. Article
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  20. Journal of chemical information and modeling · 2025
    Article

93 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.

P Benjamin StrangesDepartment of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, 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 R01-GM73960
6 · The paper itself

Abstract

The accurate design of new protein-protein interactions is a longstanding goal of computational protein design. However, most computationally designed interfaces fail to form experimentally. This investigation compares five previously described successful de novo interface designs with 158 failures. Both sets of proteins were designed with the molecular modeling program Rosetta. Designs were considered a success if a high-resolution crystal structure of the complex closely matched the design model and the equilibrium dissociation constant for binding was less than 10 μM. The successes and failures represent a wide variety of interface types and design goals including heterodimers, homodimers, peptide-protein interactions, one-sided designs (i.e., where only one of the proteins was mutated) and two-sided designs. The most striking feature of the successful designs is that they have fewer polar atoms at their interfaces than many of the failed designs. Designs that attempted to create extensive sets of interface-spanning hydrogen bonds resulted in no detectable binding. In contrast, polar atoms make up more than 40% of the interface area of many natural dimers, and native interfaces often contain extensive hydrogen bonding networks. These results suggest that Rosetta may not be accurately balancing hydrogen bonding and electrostatic energies against desolvation penalties and that design processes may not include sufficient sampling to identify side chains in preordered conformations that can fully satisfy the hydrogen bonding potential of the interface.

Indexed as

Computational BiologyHydrogen BondingModels, MolecularProtein BindingProtein ConformationProteinsStatic ElectricityProteins

Identifiers

PMID23139141
PMCPMC3575862

What OpenQuestion holds

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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.