Evidence map›Paper›PMID 41378108›Full record

ReviewBiophysical reviews2025

Nucleation of protein crystals in pores and their growth.

Christo N Nanev, Emmanuel Saridakis, Naomi E Chayen

Abstract readReview
In one paragraph

Review in Biophysical reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Biophysics in Great Britain and Ireland.Biophysical reviews · 2025
    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

3 authors.

Christo N NanevRostislaw Kaischew Institute of Physical Chemistry, 1113 Sofia, Bulgaria.ORCID 0000-0003-0678-737X
Emmanuel SaridakisInstitute of Nanoscience and Nanotechnology, National Centre for Scientific Research "Demokritos", Ag. Paraskevi, 15310 Athens, Greece.ORCID 0000-0003-0724-5425
Naomi E ChayenDivision of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, W12 0NN UK.ORCID 0000-0003-2861-2458

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

X-ray diffraction enables determination of biomolecular structure but requires well-diffracting crystals that are notoriously difficult to grow. Porous materials can aid the crystallization of refractory proteins and, since knowledge of the mode of action of such materials may contribute to finding new crystallization inducers, this process has been studied thoroughly. It was established that, even under conditions where heterogeneous nucleation on flat surfaces is absent, a synergistic diffusion-adsorption effect inside a sufficiently narrow pore can increase the protein concentration to a level sufficient for crystal nucleation. The formation of a protein crystal in a pore begins with the assembly of molecules into a crystalline layer of monomolecular thickness, which is stabilized by its cohesion with the pore wall. We highlight thermodynamic considerations that provide an estimate of the importance of the protection due to the pore walls for crystal stability. In addition, molecular-kinetic considerations reveal further details of protein crystal nucleation assisted by porous materials. The observation that protein crystals nucleated by means of porous materials often display improved X-ray diffraction is of practical importance for structural studies. It is hoped that this review will guide scientists in their efforts to grow crystals of target proteins, complementing the usual trial-and-error strategies.

Indexed as

Crystallization kineticsCrystallization thermodynamicsNucleationPorous materialsProtein crystallization

Identifiers

PMID41378108
PMCPMC12686228

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.