Evidence map›Paper›PMID 25225856›Full record

ReviewQuarterly reviews of biophysics2014

Frustration in biomolecules.

Diego U Ferreiro, Elizabeth A Komives, Peter G Wolynes

Abstract readReview
In one paragraph

Review in Quarterly reviews of biophysics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 171 papers.

0numbers the graph read from it
0cells of the map it votes in
171citing 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

171 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. amyloid-predict and LLPS-predict: Predicting phase separation propensities in the intrinsically disordered proteome.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Cancer-associated TRF1 mutations alter PARP1 interaction dynamics: an in silico study.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Article
  11. Article
  12. Article
  13. Predicting Protein Folding Dynamics Using Sequence Information.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  14. Article
  15. Review
  16. Article
  17. Mapping the energy landscape of a fold-switching protein MAD2.Protein science : a publication of the Protein Society · 2025
    Article
  18. Article
  19. Article
  20. Article

111 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

3 authors.

Diego U FerreiroProtein Physiology Lab,Dep de Química Biológica,Facultad de Ciencias Exactas y Naturales,UBA-CONICET-IQUIBICEN,Buenos Aires,Argentina.
Elizabeth A KomivesDepartment of Chemistry and Biochemistry,University of California San Diego,La Jolla,CA 92093,USA.
Peter G WolynesDepartment of Physics,Department of Chemistry, andCenter for Theoretical Biological Physics, Rice University,Houston,TX 77005,USA.

Funding

STRUCTURE AND STABILITY OF IKB/NF-KB COMPLEXESP01GM071862 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KOMIVES, ELIZABETH A. · 2006 to 2016
$14.9M
CONCEPTUAL ASPECTS OF THE PROTEIN FOLDING PROBLEMR01GM044557 · NIGMS · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI WOLYNES, PETER GUY · 1990 to 2018
$4.2M
NIGMS NIH HHS P01 GM071862NIGMS NIH HHS R01 GM044557NIGMS NIH HHS R01 GM44557
6 · The paper itself

Abstract

Biomolecules are the prime information processing elements of living matter. Most of these inanimate systems are polymers that compute their own structures and dynamics using as input seemingly random character strings of their sequence, following which they coalesce and perform integrated cellular functions. In large computational systems with finite interaction-codes, the appearance of conflicting goals is inevitable. Simple conflicting forces can lead to quite complex structures and behaviors, leading to the concept of frustration in condensed matter. We present here some basic ideas about frustration in biomolecules and how the frustration concept leads to a better appreciation of many aspects of the architecture of biomolecules, and especially how biomolecular structure connects to function by means of localized frustration. These ideas are simultaneously both seductively simple and perilously subtle to grasp completely. The energy landscape theory of protein folding provides a framework for quantifying frustration in large systems and has been implemented at many levels of description. We first review the notion of frustration from the areas of abstract logic and its uses in simple condensed matter systems. We discuss then how the frustration concept applies specifically to heteropolymers, testing folding landscape theory in computer simulations of protein models and in experimentally accessible systems. Studying the aspects of frustration averaged over many proteins provides ways to infer energy functions useful for reliable structure prediction. We discuss how frustration affects folding mechanisms. We review here how the biological functions of proteins are related to subtle local physical frustration effects and how frustration influences the appearance of metastable states, the nature of binding processes, catalysis and allosteric transitions. In this review, we also emphasize that frustration, far from being always a bad thing, is an essential feature of biomolecules that allows dynamics to be harnessed for function. In this way, we hope to illustrate how Frustration is a fundamental concept in molecular biology.

Indexed as

BiochemistryBiopolymersHumansMagnetic PhenomenaMovementThermodynamicsBiopolymers

Identifiers

PMID25225856
PMCPMC4256721

What OpenQuestion holds

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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.