Evidence map›Paper›PMID 42196428›Full record

ReviewInternational journal of molecular sciences2026

Determinants of Protein Folding Pathways: Lessons from Metamorphic Proteins.

Valeria Pennacchietti, Mariana Di Felice, Julian Toso, Laura Caldarelli, Eduarda Santos Ventura, Francesca Malagrinò, Angelo Toto, Stefano Gianni

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Valeria PennacchiettiLaboratory Affiliated to Istituto Pasteur Italia, Fondazione Cenci Bolognetti, Dipartimento di Scienze Biochimiche "A. Rossi Fanelli", Sapienza Università di Roma, 00185 Rome, Italy.
Mariana Di FeliceLaboratory Affiliated to Istituto Pasteur Italia, Fondazione Cenci Bolognetti, Dipartimento di Scienze Biochimiche "A. Rossi Fanelli", Sapienza Università di Roma, 00185 Rome, Italy.
Julian TosoLaboratory Affiliated to Istituto Pasteur Italia, Fondazione Cenci Bolognetti, Dipartimento di Scienze Biochimiche "A. Rossi Fanelli", Sapienza Università di Roma, 00185 Rome, Italy.
Laura CaldarelliLaboratory Affiliated to Istituto Pasteur Italia, Fondazione Cenci Bolognetti, Dipartimento di Scienze Biochimiche "A. Rossi Fanelli", Sapienza Università di Roma, 00185 Rome, Italy.
Eduarda Santos VenturaLaboratory Affiliated to Istituto Pasteur Italia, Fondazione Cenci Bolognetti, Dipartimento di Scienze Biochimiche "A. Rossi Fanelli", Sapienza Università di Roma, 00185 Rome, Italy.ORCID 0000-0002-6860-4244
Francesca MalagrinòDipartimento di Medicina Clinica, Sanità Pubblica, Scienze della Vita e dell'Ambiente, Università dell'Aquila, Piazzale Salvatore Tommasi 1, Coppito, 67010 L'Aquila, Italy.ORCID 0000-0002-7876-2422
Angelo TotoLaboratory Affiliated to Istituto Pasteur Italia, Fondazione Cenci Bolognetti, Dipartimento di Scienze Biochimiche "A. Rossi Fanelli", Sapienza Università di Roma, 00185 Rome, Italy.ORCID 0000-0002-4620-3677
Stefano GianniLaboratory Affiliated to Istituto Pasteur Italia, Fondazione Cenci Bolognetti, Dipartimento di Scienze Biochimiche "A. Rossi Fanelli", Sapienza Università di Roma, 00185 Rome, Italy.

Funding

Italian Association for Cancer Research IG 24551
6 · The paper itself

Abstract

The protein folding problem has traditionally been defined by two complementary challenges: predicting the three-dimensional structure of a protein from its amino acid sequence and understanding the mechanism by which this structure is attained. While recent advances in artificial intelligence have largely addressed the former, the latter remains unresolved. Early studies showed that many small proteins fold in a cooperative two-state manner, shifting attention toward transition states and energy landscapes. Comparative analyses of protein families further revealed that folding mechanisms are often conserved among proteins sharing the same topology, suggesting a dominant role of structure in shaping folding pathways. However, this framework does not explain when and how a protein commits to a specific topology. Metamorphic proteins, in which highly similar sequences adopt distinct native folds, provide a powerful complementary approach. Studies of these systems show that closely related sequences can follow different folding mechanisms without sharing common intermediates. These findings indicate that folding pathways are determined at very early stages and are encoded within the denatured ensemble through subtle structural and energetic biases. Here, we review the evolution of protein folding studies and propose a unified view in which folding mechanisms are selected early, with the denatured state playing a central role in defining both folding pathways and final topology.

Indexed as

Protein FoldingProteinsHumansKineticsModels, MolecularProtein ConformationThermodynamicsProteinskineticsmutagenesispathwaystopology

Identifiers

PMID42196428
PMCPMC13206965

What Socratic 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 Socratic graph.