2021
DOI: 10.1016/j.bbrep.2021.101153
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Singular value decomposition analysis of the secondary structure features contributing to the circular dichroism spectra of model proteins

Abstract: Amyloid fibril formation occurs in restricted environment, such as the interface between intercellular fluids and bio-membranes. Conformational interconversion from α-helix to β-structure does not progress in fluids; however, it can occur after sedimentary aggregation during amyloid fibril formation induced by heat treatment of hen egg white lysozyme (HEWL). Secondary structures of various proteins and denatured proteins titrated with 2,2,2-trifluoroethanol (TFE) were examined using their CD spectra. Gaussian … Show more

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Cited by 12 publications
(16 citation statements)
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References 57 publications
(65 reference statements)
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“…In the curve fitting of the thermal denaturation curve, three- or four-state equilibrium reactions were assumed with no heat capacity change based on eqs –, as follows: d ln .25em K d T = Δ H VH R T 2 normalΔ G o = Δ H VH T m × ( T m T ) f i = exp ( Δ G normalo R T ) true{ 1 + exp ( Δ G normalo R T ) true} [ θ 222 ] = i false[ θ 222 false] i × f i where K is the equilibrium constant, T is the absolute temperature (K), Δ H VH is the change in van ’t Hoff enthalpy upon thermal transition, R is the gas constant (8.31 JK –1 mol –1 ), Δ G o is the standard free energy change upon thermal transition, T m is the transition temperature (K), f i is the fraction of the i -th state, and [θ 222 ] i is the average residue molar ellipticity of each state. The 20 spectra obtained in the temperature change experiment (wavelength range: 190–250 nm) were subjected to singular value decomposition (SVD) analysis to obtain a detailed picture of the pathway of the structural change induced by the temperature increase . The set of 20 spectra obtained at each 5 °C increment was decomposed according to…”
Section: Materials and Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…In the curve fitting of the thermal denaturation curve, three- or four-state equilibrium reactions were assumed with no heat capacity change based on eqs –, as follows: d ln .25em K d T = Δ H VH R T 2 normalΔ G o = Δ H VH T m × ( T m T ) f i = exp ( Δ G normalo R T ) true{ 1 + exp ( Δ G normalo R T ) true} [ θ 222 ] = i false[ θ 222 false] i × f i where K is the equilibrium constant, T is the absolute temperature (K), Δ H VH is the change in van ’t Hoff enthalpy upon thermal transition, R is the gas constant (8.31 JK –1 mol –1 ), Δ G o is the standard free energy change upon thermal transition, T m is the transition temperature (K), f i is the fraction of the i -th state, and [θ 222 ] i is the average residue molar ellipticity of each state. The 20 spectra obtained in the temperature change experiment (wavelength range: 190–250 nm) were subjected to singular value decomposition (SVD) analysis to obtain a detailed picture of the pathway of the structural change induced by the temperature increase . The set of 20 spectra obtained at each 5 °C increment was decomposed according to…”
Section: Materials and Methodsmentioning
confidence: 99%
“…In the curve fitting of the thermal denaturation curve, three- or four-state equilibrium reactions were assumed with no heat capacity change based on eqs –, as follows: where K is the equilibrium constant, T is the absolute temperature (K), Δ H VH is the change in van ’t Hoff enthalpy upon thermal transition, R is the gas constant (8.31 JK –1 mol –1 ), Δ G o is the standard free energy change upon thermal transition, T m is the transition temperature (K), f i is the fraction of the i -th state, and [θ 222 ] i is the average residue molar ellipticity of each state. The 20 spectra obtained in the temperature change experiment (wavelength range: 190–250 nm) were subjected to singular value decomposition (SVD) analysis to obtain a detailed picture of the pathway of the structural change induced by the temperature increase . The set of 20 spectra obtained at each 5 °C increment was decomposed according to eq , as follows: where M , U , W , and V T are assumed to be an m × n matrix, m × m unitary matrix, m × n diagonal matrix, and n × n unitary matrix, respectively; U is the left singular matrix; W is the singular matrix; and V T is the right singular matrix.…”
Section: Materials and Methodsmentioning
confidence: 99%
“…The matrices describing M are transformed into the following formula, The diagonal matrix E represents the diagonal elements { |1 ≤ i ≤ r } of the positive real values in descending order. These elements are singular values, indicating dispersion . The i th column of the orthogonal matrix V is the coefficient vector corresponding to the singular value s i , and vector is known as a singular vector.…”
Section: Materials and Methodsmentioning
confidence: 99%
“…These elements are singular values, indicating dispersion. 27 The ith column of the orthogonal matrix V is the coefficient vector corresponding to the singular value s i , and vector…”
Section: T H Imentioning
confidence: 99%
“…The aggregation of proteins often changes their secondary structure, for example in amyloid formation [ 15 , 16 ]. Circular dichroism (CD) and Fourier transform infrared (FTIR) spectrometry are effective tools for the analysis of protein secondary structures to examine the mechanisms of protein aggregation and the change of protein activity [ [17] , [18] , [19] , [20] , [21] , [22] ]. For example, the secondary structure of amyloid-β 1-42 changes from a soluble monomer with a random coil form to an insoluble aggregate with a β-sheet structure, which can be monitored by the CD spectra [ 23 ].…”
Section: Introductionmentioning
confidence: 99%