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matlab-based tool for the simulation and evaluation of systems pharmacology models  (MathWorks Inc)


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    MathWorks Inc matlab-based tool for the simulation and evaluation of systems pharmacology models
    Matlab Based Tool For The Simulation And Evaluation Of Systems Pharmacology Models, 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/product/simulation+modeling+tool+matlab/pm38082557-349-11-3
    Average 90 stars, based on 1 article reviews
    matlab-based tool for the simulation and evaluation of systems pharmacology models - by Bioz Stars, 2026-11
    90/100 stars

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    Software:

    Article Title: Self-Assembled rGO-Integrated Cd-MOF as a High-Stability Electrode for Advanced Symmetric and Asymmetric Supercapacitors
    Article Snippet: The tailoring and controlled fabrication of a metal− organic framework (MOF) with diverse conductive materials have garnered significant academic attention, owing to their potential applications in next-generation energy storage devices.. Herein, we synthesized the rGO@Cd-MOF composite by a facile solvothermal method and used it as an electrode in a hybrid supercapacitor.. FESEM and TEM images verify composite material formation, as Cd-MOF crystals are dispersed on the rGO nanosheet.

    Article Title: Can energy saving and emission reduction policies promote green transformation of industrial enterprises--The Case of China.
    Article Snippet: .. To provide a more intuitive representation of the dynamic evolution of strategies in the "Government-Enterprise-Social Public" model, numerical simulation and modeling were conducted using Matlab R2016b software. ..

    Article Title: Modeling and simulation of biodiesel synthesis in fixed bed and packed bed membrane reactors using heterogeneous catalyst: a comparative study.
    Article Snippet: .. The modeling and simulation of the PBMR and PBR reactors were conducted using the MATLAB R2017b software. ..

    Article Title: High impedance faults detection in power distribution networks using rogowski coils, kalman filtering, least-squares and non-recursive DFT computation engines.
    Article Snippet: .. One of the modeling techniques selected for HIF was the numerical technique, which demonstrated accuracy in its modeling using MATLAB simulation software. ..

    Article Title: Physiologically-Based Modeling and Interspecies Prediction of Cisplatin Pharmacokinetics.
    Article Snippet: The goal of this work was to develop a physiologically-based pharmacokinetic (PBPK) modeling framework for cisplatin.. The model was constructed based on 11 published data sets from rodents; and rabbit, dog, and human data were used to evaluate its utility in predicting plasma and tissue distribution of platinum in larger species, including humans.. The model included biotransformation of cisplatin into mobile (k1) and fixed (k2) metabolites in all tissues, and subsequent conversion of fixed metabolites to mobile metabolites (k3) due to protein degradation and turnover.

    other:

    Article Title: Optimized Proportional Integral Derivative Based Power System Stabilizer Using Jaya Algorithm for Angular Stability Enhancement
    Article Snippet: The modeling and simulation were done using Matlab /Simulink software version R2021b on IEEE 14-Bus system and Single Machine Infinite Bus (SMIB).

    Article Title: Practical Application Research on the Kinematic Optimization of Nursing Bed Articulation Mechanism Based on MATLAB
    Article Snippet: MATLAB is a mathematical modeling and simulation tool widely used in the fields of science and engineering.

    Article Title: Design of a perturb and observe and neural network algorithms-based maximum power point tracking for a grid-connected photovoltaic system
    Article Snippet: Moving on to section 3, we present the experimental results achieved through modeling and simulation using MATLAB Simulink software, providing analyses and discussions of the findings obtained.



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    The minimal physiologically‐based pharmacokinetic ( mPBPK ) models that are used in ATLAS mPBPK. ( a ) mPBPK model for small molecules. ( b ) mPBPK model for large molecules with no target binding. ( c ) mPBPK model for large molecules with target binding in plasma (interstitial fluid). ( d ) mPBPK model for large molecules with target binding in peripheral tissues. Parameters' names and typical values are shown in Table . EV, extravascular; IV, intravenous; PO, oral.

    Journal: CPT: Pharmacometrics & Systems Pharmacology

    Article Title: ATLAS mPBPK: A MATLAB‐Based Tool for Modeling and Simulation of Minimal Physiologically‐Based Pharmacokinetic Models

    doi: 10.1002/psp4.12441

    Figure Lengend Snippet: The minimal physiologically‐based pharmacokinetic ( mPBPK ) models that are used in ATLAS mPBPK. ( a ) mPBPK model for small molecules. ( b ) mPBPK model for large molecules with no target binding. ( c ) mPBPK model for large molecules with target binding in plasma (interstitial fluid). ( d ) mPBPK model for large molecules with target binding in peripheral tissues. Parameters' names and typical values are shown in Table . EV, extravascular; IV, intravenous; PO, oral.

    Article Snippet: In this tutorial, we present a MATLAB‐based tool for the modeling and simulation of mPBPK models (ATLAS mPBPK).

    Techniques: Binding Assay, Clinical Proteomics

    Concordance of simulated ATLAS mPBPK small‐molecule model values based on pharmacokinetic data of beta‐lactams. Figure is not an output of ATLAS mPBPK but was constructed by processing ATLAS mPBPK simulation output using MATLAB.

    Journal: CPT: Pharmacometrics & Systems Pharmacology

    Article Title: ATLAS mPBPK: A MATLAB‐Based Tool for Modeling and Simulation of Minimal Physiologically‐Based Pharmacokinetic Models

    doi: 10.1002/psp4.12441

    Figure Lengend Snippet: Concordance of simulated ATLAS mPBPK small‐molecule model values based on pharmacokinetic data of beta‐lactams. Figure is not an output of ATLAS mPBPK but was constructed by processing ATLAS mPBPK simulation output using MATLAB.

    Article Snippet: In this tutorial, we present a MATLAB‐based tool for the modeling and simulation of mPBPK models (ATLAS mPBPK).

    Techniques: Construct

    Demonstration of ATLAS mPBPK large‐molecule model based on PK data of Trastuzumab (target binding in peripheral tissues) and Mavrillimumab (target binding in plasma) for a range of doses. Figures are not an output of ATLAS mPBPK but were constructed by processing ATLAS mPBPK simulation output using MATLAB. c‐TMDD, Target mediated drug disposition in plasma (central); hr, hour; mPBPK, minimal physiologically‐based pharmacokinetic modeling; p‐TMDD, target‐mediated drug disposition in peripheral tissues.

    Journal: CPT: Pharmacometrics & Systems Pharmacology

    Article Title: ATLAS mPBPK: A MATLAB‐Based Tool for Modeling and Simulation of Minimal Physiologically‐Based Pharmacokinetic Models

    doi: 10.1002/psp4.12441

    Figure Lengend Snippet: Demonstration of ATLAS mPBPK large‐molecule model based on PK data of Trastuzumab (target binding in peripheral tissues) and Mavrillimumab (target binding in plasma) for a range of doses. Figures are not an output of ATLAS mPBPK but were constructed by processing ATLAS mPBPK simulation output using MATLAB. c‐TMDD, Target mediated drug disposition in plasma (central); hr, hour; mPBPK, minimal physiologically‐based pharmacokinetic modeling; p‐TMDD, target‐mediated drug disposition in peripheral tissues.

    Article Snippet: In this tutorial, we present a MATLAB‐based tool for the modeling and simulation of mPBPK models (ATLAS mPBPK).

    Techniques: Binding Assay, Clinical Proteomics, Construct