Evidence map›Paper›PMID 41857423›Full record

ReviewAdvances in biochemical engineering/biotechnology2026

Theoretical Perspectives for Biomolecular Crystallization Prediction.

James F Lutsko

Erratum issuedAbstract readReview
PubMed Publisher
In one paragraph

Review in Advances in biochemical engineering/biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

1 author.

James F LutskoCenter for Nonlinear Phenomena and Complex Systems, Université Libre de Bruxelles, Brussels, Belgium. jim.lutsko@ulb.be.ORCID https://orcid.org/0000-0001-9899-8435

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biocrystallization has played a fundamental role in revealing the complexity of crystallization such as the role of metastable crystallization precursors and nonclassical nucleation pathways. This chapter describes some modern theoretical developments developed to address the challenges posed by these discoveries to our understanding of both the thermodynamics and dynamics of clusters of molecules. After briefly recalling the thermodynamic model of Gibbs that underlies classical nucleation theory and subsequent heuristic improvements such as the van der Waals diffuse interface model, the recent development of fundamental statistical-mechanical methods known collectively as classical density functional theory (cDFT) is described. These methods allow for ab inito prediction of crystal structures and thermodynamics with molecular-level resolution using only the molecular interaction potential as input. The dynamics of nucleation, traditionally modeled using rate equations to describe the evolution of cluster sizes based on monomer attachment/detatchment, is then addressed by incorporating the molecular-level thermodynamics into a dynamical description of thermal fluctuations that allows one to predict the kind of nonclassical nucleation pathways seen in experiment and simulation as well as the associated nucleation rates without the need for macroscopic concepts such as order parameters and collective variables.

Indexed as

Models, ChemicalModels, MolecularProteinsCrystallizationThermodynamicsProteins

Identifiers

PMID41857423

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.