Dimension conversion and scaling of disordered protein chains
Autor: | Daqi Yu, Zhirong Liu, Maodong Li, Tanlin Sun, Fan Jin |
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Rok vydání: | 2016 |
Předmět: |
0301 basic medicine
Quantitative Biology::Biomolecules Protein Conformation Small-angle X-ray scattering Chemistry Thermodynamics Intrinsically disordered proteins Intrinsically Disordered Proteins 03 medical and health sciences Molecular dynamics Crystallography 030104 developmental biology X-Ray Diffraction Chain (algebraic topology) Scattering Small Angle Fluorescence Resonance Energy Transfer Exponent Radius of gyration Spectroscopy Hydrophobic and Hydrophilic Interactions Molecular Biology Scaling Algorithms Biotechnology |
Zdroj: | Molecular BioSystems. 12:2932-2940 |
ISSN: | 1742-2051 1742-206X |
DOI: | 10.1039/c6mb00415f |
Popis: | To extract protein dimension and energetics information from single-molecule fluorescence resonance energy transfer spectroscopy (smFRET) data, it is essential to establish the relationship between the distributions of the radius of gyration (Rg) and the end-to-end (donor-to-acceptor) distance (Ree). Here, we performed a coarse-grained molecular dynamics simulation to obtain a conformational ensemble of denatured proteins and intrinsically disordered proteins. For any disordered chain with fixed length, there is an excellent linear correlation between the average values of Rg and Ree under various solvent conditions, but the relationship deviates from the prediction of a Gaussian chain. A modified conversion formula was proposed to analyze smFRET data. The formula reduces the discrepancy between the results obtained from FRET and small-angle X-ray scattering (SAXS). The scaling law in a coil-globule transition process was examined where a significant finite-size effect was revealed, i.e., the scaling exponent may exceed the theoretical critical boundary [1/3, 3/5] and the prefactor changes notably during the transition. The Sanchez chain model was also tested and it was shown that the mean-field approximation works well for expanded chains. |
Databáze: | OpenAIRE |
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