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matlab simbiology software  (MathWorks Inc)


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    MathWorks Inc matlab simbiology software
    Matlab Simbiology Software, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 97/100, based on 595 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/simbiology+software/SimBiology/pmc12962402-86-5-8
    Average 97 stars, based on 595 article reviews
    matlab simbiology software - by Bioz Stars, 2026-09
    97/100 stars

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    Software:

    Article Title: Correction to "Evaluation of High-Affinity Monoclonal Antibodies and Antibody-Drug Conjugates by Homogenous Time-Resolved FRET".
    Article Snippet: .. Following mass-balance principles, MatLab Simbiology software was used to generate an ODE-based model representing a titration of increasing concentrations of ligand to a fixed concentration of receptor. ..

    Article Title: Correction to "Evaluation of High-Affinity Monoclonal Antibodies and Antibody-Drug Conjugates by Homogenous Time-Resolved FRET".
    Article Snippet: .. To model the effect of ternary complex formation on mAb-Ag association, MatLab Simbiology software was used to generate ODE-based models for the titration of mAb to a fixed concentration of antigen. ..

    Article Title: Evaluation of High-Affinity Monoclonal Antibodies and Antibody-Drug Conjugates by Homogenous Time-Resolved FRET
    Article Snippet: .. MatLab Simbiology software was used to generate ODE-based models following mass-balance principles, demonstrating the titration of increasing concentrations of inhibitor to a fixed concentration [R]0 = [R] + [RA] + [RB] (S11) [RA] = ([R][A 0 ])/(K A + [R]) (S12) [RB] = ([R][B0])/(KB + [R]) (S13) 0 = [R]3 + a[R]2 + b[R] + c (S14) where: a = KA + KB+ [A0] + [B0] – [R]0 b = KB( [A0 ] − [R]0)+ KA( [B0 ] − [R]0)+ KA KB c = -KA KB[R]0 [R] = − a 3 + 2 3 √(a2 − 3b) + cos ( θ 3 ) (S15) where: θ = arccos(−2a3 + 9ab − 27c) /(2√(a2 − 3b)3) [RA] = [A 0 ]{2√(a2 − 3b) ∗ cos ( θ 3 ) − a}/(3K A + {2√(a2 − 3b) ∗ cos ( θ 3 ) − a}) (S16) [RB] = [B0]{2√ (a2 − 3b) ∗ cos ( θ 3 ) − a}/(3KB + {2√ (a2 − 3b) ∗ cos ( θ 3 ) − a}) S5 of receptor and ligand. ..

    Article Title: Fabrication and evaluation of centrifugal spun Miconazole-loaded sugar-based fibers
    Article Snippet: .. The IC50 of 8.2 μg/mL was adopted from the literature [47]. dN dt =K growth × ⎛ ⎜ ⎝1 − D V × K max D V + IC 50 ⎞ ⎟ ⎠× ( 1 − N N max ) × N (Equation 6) We used MATLAB, and SimBiology software to perform the curve fitting work for the above equations. ..

    Article Title: Correction to "Evaluation of High-Affinity Monoclonal Antibodies and Antibody-Drug Conjugates by Homogenous Time-Resolved FRET".
    Article Snippet: .. MatLab Simbiology software was used to generate ODE-based models following mass-balance principles, demonstrating the titration of increasing concentrations of inhibitor to a fixed concentration [RR]0 = [RR] + [RRRR] + [RRBB] (S11) [RRRR] = ([RR][RR0])/(KKRR + [RR]) (S12) [RRBB] = ([RR][BB0])/(KKBB + [RR]) (S13) 0 = [R]3 + mm[R]2 + bb[RR] + cc (S14) where: a = KA + KB+ [RR0] + [BB0] – [RR]0 b = KKBB([RR0] − [RR]0)+ KKRR([BB0] − [RR]0)+ KKRR KKBB c = -KKRR KKBB[RR]0 [RR] = −aa 3 + 2 3 �(a2 − 3bb) + cos �θθ 3 � (S15) where: θθ = arccos(−2mm3 + 9mmbb − 27cc) /(2�(mm2 − 3bb)3) [RRRR] = [RR0]{2�(mm 2 − 3bb) ∗ cos �θθ 3 � − mm}/(3KKRR + {2�(mm 2 − 3bb) ∗ cos �θθ 3 � − mm}) (S16) [RRBB] = [BB0]{2�(mm 2 − 3bb) ∗ cos �θθ 3 � − mm}/(3KKBB + {2�(mm 2 − 3bb) ∗ cos �θθ 3 � − mm}) S5 of receptor and ligand. ..

    Article Title: A Bispecific Modeling Framework Enables the Prediction of Efficacy, Toxicity, and Optimal Molecular Design of Bispecific Antibodies Targeting MerTK.
    Article Snippet: .. Derivative-based sensitivity analysis was performed with MATLAB Simbiology software to identify parameters in the model with the largest impact on the PK of bsAbs in humans. ..

    Article Title: Anti-tryptase antibodies, compositions thereof, and uses thereof
    Article Snippet: .. The model was developed in Simbiology® software (Mathworks Inc, Cambridge MA) to simulate tetrameric tryptase generation, dissociation, and clearance in the circulating and in the lung tissue, as well as the PK and binding effects of the anti-tryptase antibodies. ..

    Article Title: Correction to "Evaluation of High-Affinity Monoclonal Antibodies and Antibody-Drug Conjugates by Homogenous Time-Resolved FRET".
    Article Snippet: .. To model the effect of ternary complex formation on competitive displacement, MatLab Simbiology software was used to generate ODE-based models for the titration of increasing concentrations of mAb to a fixed concentration of its fragment of antigen binding. ..

    Titration:

    Article Title: Correction to "Evaluation of High-Affinity Monoclonal Antibodies and Antibody-Drug Conjugates by Homogenous Time-Resolved FRET".
    Article Snippet: .. Following mass-balance principles, MatLab Simbiology software was used to generate an ODE-based model representing a titration of increasing concentrations of ligand to a fixed concentration of receptor. ..

    Article Title: Correction to "Evaluation of High-Affinity Monoclonal Antibodies and Antibody-Drug Conjugates by Homogenous Time-Resolved FRET".
    Article Snippet: .. To model the effect of ternary complex formation on mAb-Ag association, MatLab Simbiology software was used to generate ODE-based models for the titration of mAb to a fixed concentration of antigen. ..

    Article Title: Evaluation of High-Affinity Monoclonal Antibodies and Antibody-Drug Conjugates by Homogenous Time-Resolved FRET
    Article Snippet: .. MatLab Simbiology software was used to generate ODE-based models following mass-balance principles, demonstrating the titration of increasing concentrations of inhibitor to a fixed concentration [R]0 = [R] + [RA] + [RB] (S11) [RA] = ([R][A 0 ])/(K A + [R]) (S12) [RB] = ([R][B0])/(KB + [R]) (S13) 0 = [R]3 + a[R]2 + b[R] + c (S14) where: a = KA + KB+ [A0] + [B0] – [R]0 b = KB( [A0 ] − [R]0)+ KA( [B0 ] − [R]0)+ KA KB c = -KA KB[R]0 [R] = − a 3 + 2 3 √(a2 − 3b) + cos ( θ 3 ) (S15) where: θ = arccos(−2a3 + 9ab − 27c) /(2√(a2 − 3b)3) [RA] = [A 0 ]{2√(a2 − 3b) ∗ cos ( θ 3 ) − a}/(3K A + {2√(a2 − 3b) ∗ cos ( θ 3 ) − a}) (S16) [RB] = [B0]{2√ (a2 − 3b) ∗ cos ( θ 3 ) − a}/(3KB + {2√ (a2 − 3b) ∗ cos ( θ 3 ) − a}) S5 of receptor and ligand. ..

    Article Title: Correction to "Evaluation of High-Affinity Monoclonal Antibodies and Antibody-Drug Conjugates by Homogenous Time-Resolved FRET".
    Article Snippet: .. MatLab Simbiology software was used to generate ODE-based models following mass-balance principles, demonstrating the titration of increasing concentrations of inhibitor to a fixed concentration [RR]0 = [RR] + [RRRR] + [RRBB] (S11) [RRRR] = ([RR][RR0])/(KKRR + [RR]) (S12) [RRBB] = ([RR][BB0])/(KKBB + [RR]) (S13) 0 = [R]3 + mm[R]2 + bb[RR] + cc (S14) where: a = KA + KB+ [RR0] + [BB0] – [RR]0 b = KKBB([RR0] − [RR]0)+ KKRR([BB0] − [RR]0)+ KKRR KKBB c = -KKRR KKBB[RR]0 [RR] = −aa 3 + 2 3 �(a2 − 3bb) + cos �θθ 3 � (S15) where: θθ = arccos(−2mm3 + 9mmbb − 27cc) /(2�(mm2 − 3bb)3) [RRRR] = [RR0]{2�(mm 2 − 3bb) ∗ cos �θθ 3 � − mm}/(3KKRR + {2�(mm 2 − 3bb) ∗ cos �θθ 3 � − mm}) (S16) [RRBB] = [BB0]{2�(mm 2 − 3bb) ∗ cos �θθ 3 � − mm}/(3KKBB + {2�(mm 2 − 3bb) ∗ cos �θθ 3 � − mm}) S5 of receptor and ligand. ..

    Article Title: Correction to "Evaluation of High-Affinity Monoclonal Antibodies and Antibody-Drug Conjugates by Homogenous Time-Resolved FRET".
    Article Snippet: .. To model the effect of ternary complex formation on competitive displacement, MatLab Simbiology software was used to generate ODE-based models for the titration of increasing concentrations of mAb to a fixed concentration of its fragment of antigen binding. ..

    Concentration Assay:

    Article Title: Correction to "Evaluation of High-Affinity Monoclonal Antibodies and Antibody-Drug Conjugates by Homogenous Time-Resolved FRET".
    Article Snippet: .. Following mass-balance principles, MatLab Simbiology software was used to generate an ODE-based model representing a titration of increasing concentrations of ligand to a fixed concentration of receptor. ..

    Article Title: Correction to "Evaluation of High-Affinity Monoclonal Antibodies and Antibody-Drug Conjugates by Homogenous Time-Resolved FRET".
    Article Snippet: .. To model the effect of ternary complex formation on mAb-Ag association, MatLab Simbiology software was used to generate ODE-based models for the titration of mAb to a fixed concentration of antigen. ..

    Article Title: Evaluation of High-Affinity Monoclonal Antibodies and Antibody-Drug Conjugates by Homogenous Time-Resolved FRET
    Article Snippet: .. MatLab Simbiology software was used to generate ODE-based models following mass-balance principles, demonstrating the titration of increasing concentrations of inhibitor to a fixed concentration [R]0 = [R] + [RA] + [RB] (S11) [RA] = ([R][A 0 ])/(K A + [R]) (S12) [RB] = ([R][B0])/(KB + [R]) (S13) 0 = [R]3 + a[R]2 + b[R] + c (S14) where: a = KA + KB+ [A0] + [B0] – [R]0 b = KB( [A0 ] − [R]0)+ KA( [B0 ] − [R]0)+ KA KB c = -KA KB[R]0 [R] = − a 3 + 2 3 √(a2 − 3b) + cos ( θ 3 ) (S15) where: θ = arccos(−2a3 + 9ab − 27c) /(2√(a2 − 3b)3) [RA] = [A 0 ]{2√(a2 − 3b) ∗ cos ( θ 3 ) − a}/(3K A + {2√(a2 − 3b) ∗ cos ( θ 3 ) − a}) (S16) [RB] = [B0]{2√ (a2 − 3b) ∗ cos ( θ 3 ) − a}/(3KB + {2√ (a2 − 3b) ∗ cos ( θ 3 ) − a}) S5 of receptor and ligand. ..

    Article Title: Correction to "Evaluation of High-Affinity Monoclonal Antibodies and Antibody-Drug Conjugates by Homogenous Time-Resolved FRET".
    Article Snippet: .. MatLab Simbiology software was used to generate ODE-based models following mass-balance principles, demonstrating the titration of increasing concentrations of inhibitor to a fixed concentration [RR]0 = [RR] + [RRRR] + [RRBB] (S11) [RRRR] = ([RR][RR0])/(KKRR + [RR]) (S12) [RRBB] = ([RR][BB0])/(KKBB + [RR]) (S13) 0 = [R]3 + mm[R]2 + bb[RR] + cc (S14) where: a = KA + KB+ [RR0] + [BB0] – [RR]0 b = KKBB([RR0] − [RR]0)+ KKRR([BB0] − [RR]0)+ KKRR KKBB c = -KKRR KKBB[RR]0 [RR] = −aa 3 + 2 3 �(a2 − 3bb) + cos �θθ 3 � (S15) where: θθ = arccos(−2mm3 + 9mmbb − 27cc) /(2�(mm2 − 3bb)3) [RRRR] = [RR0]{2�(mm 2 − 3bb) ∗ cos �θθ 3 � − mm}/(3KKRR + {2�(mm 2 − 3bb) ∗ cos �θθ 3 � − mm}) (S16) [RRBB] = [BB0]{2�(mm 2 − 3bb) ∗ cos �θθ 3 � − mm}/(3KKBB + {2�(mm 2 − 3bb) ∗ cos �θθ 3 � − mm}) S5 of receptor and ligand. ..

    Article Title: Correction to "Evaluation of High-Affinity Monoclonal Antibodies and Antibody-Drug Conjugates by Homogenous Time-Resolved FRET".
    Article Snippet: .. To model the effect of ternary complex formation on competitive displacement, MatLab Simbiology software was used to generate ODE-based models for the titration of increasing concentrations of mAb to a fixed concentration of its fragment of antigen binding. ..

    Binding Assay:

    Article Title: Anti-tryptase antibodies, compositions thereof, and uses thereof
    Article Snippet: .. The model was developed in Simbiology® software (Mathworks Inc, Cambridge MA) to simulate tetrameric tryptase generation, dissociation, and clearance in the circulating and in the lung tissue, as well as the PK and binding effects of the anti-tryptase antibodies. ..

    Article Title: Correction to "Evaluation of High-Affinity Monoclonal Antibodies and Antibody-Drug Conjugates by Homogenous Time-Resolved FRET".
    Article Snippet: .. To model the effect of ternary complex formation on competitive displacement, MatLab Simbiology software was used to generate ODE-based models for the titration of increasing concentrations of mAb to a fixed concentration of its fragment of antigen binding. ..



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    Image Search Results


    FIGURE 2 | Schematic diagram of human QSP model. Human QSP model was built by combining the reported model of Wang et al. [33] and a por- tion of oncolytic virus mechanism of action in the preclinical QSP model shown in Figure 1. APC, antigen-presenting cell; Arg-1, arginase 1; aTCD8, activated CD8-positive T cells; CCL-2, chemokine (C-C motif) ligand 2; CTLA-4, cytotoxic T-lymphocyte-associated protein 4; e, rate of tumor-cell kill by differentiated effector T cells; IL-2, interleukin 2; IL-7, interleukin 7; IL-12, interleukin 12; mAPC, MHC-presenting APC; MDSC, myeloid- derived suppressor cells; MHC, major histocompatibility complex; nTCD4, naïve CD4-positive T cells; nTCD8, naïve CD8-positive T cells; NO, nitric oxide; PD-1, programmed cell death protein 1; PD-L1, programmed death-ligand 1; QSP, quantitative systems pharmacology; TCR, T-cell receptor; Teff, effector T cells; Treg, regulatory T cells; Tumi, infected tumor cells; Tumni, noninfected tumor cells; Valpha, viral production size.

    Journal: CPT: pharmacometrics & systems pharmacology

    Article Title: A Multiple-Model-Informed Drug-Development Approach for Optimal Regimen Selection of an Oncolytic Virus in Combination With Pembrolizumab.

    doi: 10.1002/psp4.13297

    Figure Lengend Snippet: FIGURE 2 | Schematic diagram of human QSP model. Human QSP model was built by combining the reported model of Wang et al. [33] and a por- tion of oncolytic virus mechanism of action in the preclinical QSP model shown in Figure 1. APC, antigen-presenting cell; Arg-1, arginase 1; aTCD8, activated CD8-positive T cells; CCL-2, chemokine (C-C motif) ligand 2; CTLA-4, cytotoxic T-lymphocyte-associated protein 4; e, rate of tumor-cell kill by differentiated effector T cells; IL-2, interleukin 2; IL-7, interleukin 7; IL-12, interleukin 12; mAPC, MHC-presenting APC; MDSC, myeloid- derived suppressor cells; MHC, major histocompatibility complex; nTCD4, naïve CD4-positive T cells; nTCD8, naïve CD8-positive T cells; NO, nitric oxide; PD-1, programmed cell death protein 1; PD-L1, programmed death-ligand 1; QSP, quantitative systems pharmacology; TCR, T-cell receptor; Teff, effector T cells; Treg, regulatory T cells; Tumi, infected tumor cells; Tumni, noninfected tumor cells; Valpha, viral production size.

    Article Snippet: Clinical QSP model Clinical ABM Software MATLAB, SimBiology Virtual Tumour (coded in MATLAB) Number of equations 160 67 Number of species 124 34 Number of parameters 185 47 Time to run Approximately 2 h Around 90 s per individual simulation (overall run time depends on the number of individual simulations required) Output No clear difference was observed.

    Techniques: Virus, Derivative Assay, Immunopeptidomics, Infection