Protein structure analysis based on red-edge excitation shift (rees) spectroscopy

US2019072491A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2019072491-A1
Application numberUS-201716085968-A
CountryUS
Kind codeA1
Filing dateMar 17, 2017
Priority dateMar 18, 2016
Publication dateMar 7, 2019
Grant date

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Abstract

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A protein structure analysis method includes receiving a fluorescence emission spectrum generated by a protein sample at a first excitation wavelength, evaluating, from the fluorescence emission spectrum, an indication characteristic of a fluorescence response of the protein sample at the first excitation wavelength, and repeating the receiving and evaluating steps in relation to a plurality of fluorescence emission spectra generated by the protein sample at a different excitation wavelength to the first excitation wavelength. In addition, the method includes generating a non-linear relationship between excitation wavelength and indication characteristic of fluorescence response of the protein sample that includes an indication of at least one characteristic of the conformational state of the protein sample. The method can be used with any protein which includes one or more naturally occurring fluorescent amino acids (intrinsic fluorophores), and particularly those with Trp residues (most), or proteins having appropriately selected extrinsic fluorophores.

First claim

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1 . A method comprising: receiving a fluorescence emission spectrum generated by a protein sample at a first excitation wavelength, the protein sample being configured to exhibit fluorescence in dependence upon its conformational state; evaluating, from the fluorescence emission spectrum, an indication characteristic of a fluorescence response of the protein sample at the first excitation wavelength; repeating the receiving and evaluating steps in relation to a plurality of fluorescence emission spectra, each fluorescence spectrum generated by the protein sample at a different excitation wavelength to the first excitation wavelength; generating a non-linear relationship between excitation wavelength and indication characteristic of fluorescence response of the protein sample, the non-linear relationship comprising an indication of at least one characteristic of the conformational state of the protein sample, based upon correlation of the excitation wavelengths and associated evaluated indications characteristic of the fluorescence response of the protein sample; and determining a characterisation of the conformational state of the protein sample based on curvature of the generated non-linear relationship. 2 . The method according to claim 1 , wherein the indication of at least one characteristic of tithe conformational state of the protein sample comprises an indication of a number of discrete conformational states of a protein in the protein sample. 3 . The method according to claim 1 , wherein the indication of at least one characteristic of the conformational state of the protein sample comprises an indication of a free energy landscape of a protein in the protein sample. 4 . The method according to claim 1 , wherein the indication of at least one characteristic of the conformational state of the protein sample comprises an indication of a magnitude of curvature of the relationship between excitation wavelength and indication characteristic of fluorescence response of the protein sample. 5 . The method according to claim 1 , wherein the indication of at least one characteristic of the conformational state of the protein sample comprises an indication of a relative folded or unfolded nature of the conformational state of a protein in the protein sample. 6 . The method according to claim 1 , wherein the indication of at least one characteristic of the conformational state of the protein sample comprises an indication of crowding of a protein in the protein sample. 7 . The method according to claim 1 , wherein the indication of at least one characteristic of the conformational state of the protein sample comprises an indication of physical compactness of a protein in the protein sample. 8 . The method according to claim 1 , wherein the indication of at least one characteristic of the conformational state of the protein sample comprises an indication of stability of a protein in the protein sample. 9 . The method according to claim 1 , wherein the indication of at least one characteristic of the conformational state of the protein sample comprises an indication of aggregation of a protein in the protein sample. 10 . The method according to claim 1 , wherein the indication of at least one characteristic of the conformational state of the protein sample comprises an indication the characteristic of fluorescence response which is determined to be independent over a range of excitation wavelength. 11 . The method according to claim 1 , wherein the non-linear relationship between excitation wavelength and indication characteristic of fluorescence response of the protein sample comprises an exponential function or a symmetric or asymmetric exponential probability function. 12 . The method according to claim 1 , wherein the non-linear relationship between excitation wavelength and indication characteristic of fluorescence response of the protein sample comprises: a Gaussian probability distribution of the form: f  ( x ) = R 0 + A  2  /  π w  exp  ( - 2  ( x - m w ) 2 ) where A is the area, w is the full width at half-maximal (fwhm), m is the mid-point and R 0 is the y-intercept and m=λ REES max , where λ REES max is the excitation wavelength that gives the largest change in the fluorescence emission peak wavelength. 13 . The method according to claim 1 , wherein the protein sample comprises: a protein, solvent and buffer, and the indication of at least one characteristic of the conformational state comprises an indication of the conformational state of the protein in the solvent and buffer. 14 . The method according to claim 4 , wherein the indication the characteristic of fluorescence response which is determined to be independent over a range of excitation wavelength, and the indication of a magnitude of curvature of the relationship between excitation wavelength and indication characteristic of fluorescence response of the protein sample, together comprise a 2-dimensional fingerprint characteristic of the protein sample. 15 . The method according to claim 1 , comprising generating the indication of at least one characteristic of the conformational state of the protein sample for a plurality of different protein samples. 16 . The method according to claim 1 , comprising: comparing said indication of at least one characteristic of said conformational state of said protein sample with a previously generated indication of at least one characteristic of said conformational state of an identical protein sample. 17 . The method according to claim 1 , comprising comparing the indication of at least one characteristic of the conformational state of the protein sample, with an indication of at least one characteristic of the conformational state of a protein sample comprising the same protein having one or more different: concentration, solvent or buffer. 18 .- 20

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Classifications

  • Measuring fluorescence of biological material, e.g. DNA, RNA, cells (G01N21/6428 takes precedence) · CPC title

  • Excitation at two or more wavelengths · CPC title

  • Measuring at two or more wavelengths · CPC title

  • with indicators, stains, dyes, tags, labels, marks · CPC title

  • Searching chemical structures or physicochemical data · CPC title

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What does patent US2019072491A1 cover?
A protein structure analysis method includes receiving a fluorescence emission spectrum generated by a protein sample at a first excitation wavelength, evaluating, from the fluorescence emission spectrum, an indication characteristic of a fluorescence response of the protein sample at the first excitation wavelength, and repeating the receiving and evaluating steps in relation to a plurality of…
Who is the assignee on this patent?
Univ Bath
What technology area does this patent fall under?
Primary CPC classification G01N21/6486. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Mar 07 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).