ArticleMolecules (Basel, Switzerland)2024
The Effect of β-Sheet Secondary Structure on All-β Proteins by Molecular Dynamics Simulations.
Article in Molecules (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- Genome-Wide Identification and Characterization of theBiology · 2026Article
- Genome-Wide Identification of theInternational journal of molecular sciences · 2026Article
- Impact of intrinsically disordered regions and functional disorder hotspots in the human kinome.Briefings in bioinformatics · 2025Article
- Characterization of the secondary structure, renaturation and physical ageing of gelatine adhesives.Scientific reports · 2025Article
- Exploring Echinacea angustifolia for anti-viral compounds against Zika virus RNA-dependent RNA polymerase: a computational study.Scientific reports · 2025Article
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3 authors.
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Abstract
The effect of β-sheet ratio and chain length on all-β proteins was investigated by MD simulations. Protein samples composed of different repeating units with various β-sheet ratios or a different number of repeating units were simulated under a broad temperature range. The simulation results show that the smaller radius of gyration was achieved by the protein with the higher proportion of β-sheet secondary structure, which had the lower nonbonded energy with more HBs within the protein. The root mean square deviation (RMSD) and the root mean square fluctuation (RMSF) both increased with temperature, especially in the case of a longer chain. The visible period was also shown according to the repeated secondary structure. Several minimum values of RMSF were located on the skeleton of Cα atoms participating in the β-sheet, indicating that it is a kind of stable secondary structure. We also concluded that proteins with a short chain or a lower ratio of β-sheet could easily transform their oriented and compact structures to other ones, such as random coils, turns, and even α-helices. These results clarified the relationship from the primary level to the 3D structure of proteins and potentially predicted protein folding.
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