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matlab-based program package deeranalysis2019  (MathWorks Inc)


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    MathWorks Inc matlab-based program package deeranalysis2019
    Effect of ligand loading in DEER data for 16-DSA-probed HSA solutions. HSA was loaded with 16-DSA equivalents from 0.81 – 6.20 at c HSA = 0.18 mM. (A) Corresponding dipolar evolution functions F ( t )/ F (0), regularized fits (red), modulation depths Δ (gray dotted line, indicated for highest loading ratio 6.2) and (B) resulting distance distributions P ( r ). The two most prominent features in P ( r ) are denoted as P A ( r ) at r A = 3.5 ± 0.1 nm and P B ( r ) at about r B = 2.2 ± 0.2 nm. The validated distance distributions P ( r ) were determined with <t>DeerAnalysis2019.</t> Confidence intervals of all P ( r ) curves are given as gray shaded areas. (C) Data points for ln P AB ( r ) (black dots) are shown as a function of 16-DSA concentration equivalents N P ( r ) . An exponential fit curve (red) is applied to the ln P AB ( r ) curve (red) that finally yields eq . Asymmetric error bars were extracted as variations from values of P A ( r ) and P B ( r ) in P ( r ) curves in (B). (D) The modulation depths Δ are presented as a function of 16-DSA equivalents N Δ (black dots) with a fit curve (red) corresponding to eq . Both fit curves in (C) and (D) show high correlation coefficients with R 2 > 0.94.
    Matlab Based Program Package Deeranalysis2019, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/matlab-based program package deeranalysis2019/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    matlab-based program package deeranalysis2019 - by Bioz Stars, 2026-04
    90/100 stars

    Images

    1) Product Images from "Human Serum Albumin Loaded with Fatty Acids Reveals Complex Protein–Ligand Thermodynamics and Boleadora-Type Solution Dynamics Leading to Gelation"

    Article Title: Human Serum Albumin Loaded with Fatty Acids Reveals Complex Protein–Ligand Thermodynamics and Boleadora-Type Solution Dynamics Leading to Gelation

    Journal: The Journal of Physical Chemistry. B

    doi: 10.1021/acs.jpcb.4c08717

    Effect of ligand loading in DEER data for 16-DSA-probed HSA solutions. HSA was loaded with 16-DSA equivalents from 0.81 – 6.20 at c HSA = 0.18 mM. (A) Corresponding dipolar evolution functions F ( t )/ F (0), regularized fits (red), modulation depths Δ (gray dotted line, indicated for highest loading ratio 6.2) and (B) resulting distance distributions P ( r ). The two most prominent features in P ( r ) are denoted as P A ( r ) at r A = 3.5 ± 0.1 nm and P B ( r ) at about r B = 2.2 ± 0.2 nm. The validated distance distributions P ( r ) were determined with DeerAnalysis2019. Confidence intervals of all P ( r ) curves are given as gray shaded areas. (C) Data points for ln P AB ( r ) (black dots) are shown as a function of 16-DSA concentration equivalents N P ( r ) . An exponential fit curve (red) is applied to the ln P AB ( r ) curve (red) that finally yields eq . Asymmetric error bars were extracted as variations from values of P A ( r ) and P B ( r ) in P ( r ) curves in (B). (D) The modulation depths Δ are presented as a function of 16-DSA equivalents N Δ (black dots) with a fit curve (red) corresponding to eq . Both fit curves in (C) and (D) show high correlation coefficients with R 2 > 0.94.
    Figure Legend Snippet: Effect of ligand loading in DEER data for 16-DSA-probed HSA solutions. HSA was loaded with 16-DSA equivalents from 0.81 – 6.20 at c HSA = 0.18 mM. (A) Corresponding dipolar evolution functions F ( t )/ F (0), regularized fits (red), modulation depths Δ (gray dotted line, indicated for highest loading ratio 6.2) and (B) resulting distance distributions P ( r ). The two most prominent features in P ( r ) are denoted as P A ( r ) at r A = 3.5 ± 0.1 nm and P B ( r ) at about r B = 2.2 ± 0.2 nm. The validated distance distributions P ( r ) were determined with DeerAnalysis2019. Confidence intervals of all P ( r ) curves are given as gray shaded areas. (C) Data points for ln P AB ( r ) (black dots) are shown as a function of 16-DSA concentration equivalents N P ( r ) . An exponential fit curve (red) is applied to the ln P AB ( r ) curve (red) that finally yields eq . Asymmetric error bars were extracted as variations from values of P A ( r ) and P B ( r ) in P ( r ) curves in (B). (D) The modulation depths Δ are presented as a function of 16-DSA equivalents N Δ (black dots) with a fit curve (red) corresponding to eq . Both fit curves in (C) and (D) show high correlation coefficients with R 2 > 0.94.

    Techniques Used: Concentration Assay



    Similar Products

    matlab-based program package deeranalysis2019  (MathWorks Inc)
    90
    MathWorks Inc matlab-based program package deeranalysis2019
    Effect of ligand loading in DEER data for 16-DSA-probed HSA solutions. HSA was loaded with 16-DSA equivalents from 0.81 – 6.20 at c HSA = 0.18 mM. (A) Corresponding dipolar evolution functions F ( t )/ F (0), regularized fits (red), modulation depths Δ (gray dotted line, indicated for highest loading ratio 6.2) and (B) resulting distance distributions P ( r ). The two most prominent features in P ( r ) are denoted as P A ( r ) at r A = 3.5 ± 0.1 nm and P B ( r ) at about r B = 2.2 ± 0.2 nm. The validated distance distributions P ( r ) were determined with <t>DeerAnalysis2019.</t> Confidence intervals of all P ( r ) curves are given as gray shaded areas. (C) Data points for ln P AB ( r ) (black dots) are shown as a function of 16-DSA concentration equivalents N P ( r ) . An exponential fit curve (red) is applied to the ln P AB ( r ) curve (red) that finally yields eq . Asymmetric error bars were extracted as variations from values of P A ( r ) and P B ( r ) in P ( r ) curves in (B). (D) The modulation depths Δ are presented as a function of 16-DSA equivalents N Δ (black dots) with a fit curve (red) corresponding to eq . Both fit curves in (C) and (D) show high correlation coefficients with R 2 > 0.94.
    Matlab Based Program Package Deeranalysis2019, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/matlab-based program package deeranalysis2019/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    matlab-based program package deeranalysis2019 - by Bioz Stars, 2026-04
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Effect of ligand loading in DEER data for 16-DSA-probed HSA solutions. HSA was loaded with 16-DSA equivalents from 0.81 – 6.20 at c HSA = 0.18 mM. (A) Corresponding dipolar evolution functions F ( t )/ F (0), regularized fits (red), modulation depths Δ (gray dotted line, indicated for highest loading ratio 6.2) and (B) resulting distance distributions P ( r ). The two most prominent features in P ( r ) are denoted as P A ( r ) at r A = 3.5 ± 0.1 nm and P B ( r ) at about r B = 2.2 ± 0.2 nm. The validated distance distributions P ( r ) were determined with DeerAnalysis2019. Confidence intervals of all P ( r ) curves are given as gray shaded areas. (C) Data points for ln P AB ( r ) (black dots) are shown as a function of 16-DSA concentration equivalents N P ( r ) . An exponential fit curve (red) is applied to the ln P AB ( r ) curve (red) that finally yields eq . Asymmetric error bars were extracted as variations from values of P A ( r ) and P B ( r ) in P ( r ) curves in (B). (D) The modulation depths Δ are presented as a function of 16-DSA equivalents N Δ (black dots) with a fit curve (red) corresponding to eq . Both fit curves in (C) and (D) show high correlation coefficients with R 2 > 0.94.

    Journal: The Journal of Physical Chemistry. B

    Article Title: Human Serum Albumin Loaded with Fatty Acids Reveals Complex Protein–Ligand Thermodynamics and Boleadora-Type Solution Dynamics Leading to Gelation

    doi: 10.1021/acs.jpcb.4c08717

    Figure Lengend Snippet: Effect of ligand loading in DEER data for 16-DSA-probed HSA solutions. HSA was loaded with 16-DSA equivalents from 0.81 – 6.20 at c HSA = 0.18 mM. (A) Corresponding dipolar evolution functions F ( t )/ F (0), regularized fits (red), modulation depths Δ (gray dotted line, indicated for highest loading ratio 6.2) and (B) resulting distance distributions P ( r ). The two most prominent features in P ( r ) are denoted as P A ( r ) at r A = 3.5 ± 0.1 nm and P B ( r ) at about r B = 2.2 ± 0.2 nm. The validated distance distributions P ( r ) were determined with DeerAnalysis2019. Confidence intervals of all P ( r ) curves are given as gray shaded areas. (C) Data points for ln P AB ( r ) (black dots) are shown as a function of 16-DSA concentration equivalents N P ( r ) . An exponential fit curve (red) is applied to the ln P AB ( r ) curve (red) that finally yields eq . Asymmetric error bars were extracted as variations from values of P A ( r ) and P B ( r ) in P ( r ) curves in (B). (D) The modulation depths Δ are presented as a function of 16-DSA equivalents N Δ (black dots) with a fit curve (red) corresponding to eq . Both fit curves in (C) and (D) show high correlation coefficients with R 2 > 0.94.

    Article Snippet: The raw DEER time domain data as shown in Figure S7 were processed with the MATLAB-based program package DeerAnalysis2019.

    Techniques: Concentration Assay