ReviewBiophysical reviews2025
Protein folding: basic statistical physics models and computational multipopulation genetic algorithms.
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.
What it found
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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.
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.
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Who cites it
1 citing paper in PubMed.
- Biophysical reviews (ISSUE 2 2025): LAFeBS, alive, kicking, and growing: the story continues...Biophysical reviews · 2025Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this work, we present a brief and concise review about the main features of protein folding which is one of the central research questions at the interface of physics, molecular biology, and computational sciences. We describe the physical foundations of the protein folding phenomenon itself and how it arises as both a free energy minimization process combined with a hydrophobic collapse of the enzyme molten globule due to inter and intramolecular forces among amino acid residues themselves and water molecules. We cover briefly some basic statistical physics-based models to predict the thermodynamic properties of the protein folding transition. Then, we focus our attention on the implementation of computational algorithms designed to minimize energy functions in polypeptides.
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Registered trials
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