Evidence map›Paper›PMID 33467625›Full record

ReviewInternational journal of molecular sciences2021

Double Mutant Cycles as a Tool to Address Folding, Binding, and Allostery.

Livia Pagano, Angelo Toto, Francesca Malagrinò, Lorenzo Visconti, Per Jemth, Stefano Gianni

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Backbone double-mutant cycle analysis quantifies hydrogen-bond energies in proteins.Protein science : a publication of the Protein Society · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Allosteric regulation of kinase activity in living cells.bioRxiv : the preprint server for biology · 2023
    Article
  13. An intramolecular energetic network regulates ligand recognition in a SH2 domain.Protein science : a publication of the Protein Society · 2023
    Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. 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

6 authors.

Livia PaganoIstituto Pasteur-Fondazione Cenci Bolognetti, Dipartimento di Scienze Biochimiche 'A. Rossi Fanelli' and Istituto di Biologia e Patologia Molecolari del CNR, Sapienza Università di Roma, 00185 Rome, Italy.
Angelo TotoIstituto Pasteur-Fondazione Cenci Bolognetti, Dipartimento di Scienze Biochimiche 'A. Rossi Fanelli' and Istituto di Biologia e Patologia Molecolari del CNR, Sapienza Università di Roma, 00185 Rome, Italy.ORCID 0000-0002-4620-3677
Francesca MalagrinòIstituto Pasteur-Fondazione Cenci Bolognetti, Dipartimento di Scienze Biochimiche 'A. Rossi Fanelli' and Istituto di Biologia e Patologia Molecolari del CNR, Sapienza Università di Roma, 00185 Rome, Italy.ORCID 0000-0002-7876-2422
Lorenzo ViscontiIstituto Pasteur-Fondazione Cenci Bolognetti, Dipartimento di Scienze Biochimiche 'A. Rossi Fanelli' and Istituto di Biologia e Patologia Molecolari del CNR, Sapienza Università di Roma, 00185 Rome, Italy.
Per JemthDepartment of Medical Biochemistry and Microbiology, Uppsala University, SE-75123 Uppsala, Sweden.ORCID 0000-0003-1516-7228
Stefano GianniIstituto Pasteur-Fondazione Cenci Bolognetti, Dipartimento di Scienze Biochimiche 'A. Rossi Fanelli' and Istituto di Biologia e Patologia Molecolari del CNR, Sapienza Università di Roma, 00185 Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative measurement of intramolecular and intermolecular interactions in protein structure is an elusive task, not easy to address experimentally. The phenomenon denoted 'energetic coupling' describes short- and long-range interactions between two residues in a protein system. A powerful method to identify and quantitatively characterize long-range interactions and allosteric networks in proteins or protein-ligand complexes is called double-mutant cycles analysis. In this review we describe the thermodynamic principles and basic equations that underlie the double mutant cycle methodology, its fields of application and latest employments, and caveats and pitfalls that the experimentalists must consider. In particular, we show how double mutant cycles can be a powerful tool to investigate allosteric mechanisms in protein binding reactions as well as elusive states in protein folding pathways.

Indexed as

Allosteric RegulationMutationProtein FoldingAllosteric SiteAnimalsBiophysical PhenomenaComputer SimulationEscherichia coliHumansLigandsMass SpectrometryMiceModels, MolecularMolecular ConformationMutagenesis, Site-DirectedPeptide Fragmentsbone sialoprotein (35-62), humanLigandsPeptide FragmentsProteinsSialoglycoproteinsSOD1 protein, humanSuperoxide Dismutase-1Transcription Factorscoupling energyinteraction networkssite-directed mutagenesis

Identifiers

PMID33467625
PMCPMC7830974

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.