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Title:           A quantitative systems pharmacology model for certolizumab pegol treatment in moderate-to-severe psoriasis
Subject:         Coto-Segura P, Segú-Vergés C, Martorell A, Moreno-Ramírez D, Jorba G, Junet V, Guerri F, Daura X, Oliva B, Cara C, Suárez-Magdalena O, Abraham S and Mas JM (2023) A quantitative systems pharmacology model for certolizumab pegol treatment in moderate-to-severe psoriasis. Front. Immunol. 14:1212981
Keywords:        psoriasis, anti-TNF, certolizumab pegol, mathematical modelling, virtual population, mechanism of action
Author:          Pablo Coto-Segura
CreationDate:    Wed Sep 20 10:21:37 2023 CEST
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     Item: 
      Title: A quantitative systems pharmacology model for certolizumab pegol treatment in moderate-to-severe psoriasis
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       Item: 
        Title: 1 Introduction
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       Item: 
        Title: 2 Methods
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         Item: 
          Title: 2.1 Population definition
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          Children: 
           Item: 
            Title: 2.1.1 Demographical and clinical definition
            Destination: s2_1_1
           Item: 
            Title: 2.1.2 Molecular definition
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           Item: 
            Title: 2.1.3 Sample size calculation
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           Item: 
            Title: 2.1.4 Virtual population simulation
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         Item: 
          Title: 2.2 Intervention definition
          Destination: s2_2
          Children: 
           Item: 
            Title: 2.2.1 Certolizumab pegol molecular and pharmacokinetic characterization
            Destination: s2_2_1
           Item: 
            Title: 2.2.2 Physiologically based pharmacokinetic modelling
            Destination: s2_2_2
         Item: 
          Title: 2.3 QSP modelling – obtaining virtual patients
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          Children: 
           Item: 
            Title: 2.3.1 Systems biology-based modelling – TPMS
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           Item: 
            Title: 2.3.2 Integrating PBPK and systems biology modelling – QSP models
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         Item: 
          Title: 2.4 Data analysis
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           Item: 
            Title: 2.4.1 Statistical treatment
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           Item: 
            Title: 2.4.2 Clustering algorithms
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            Title: 2.4.3 Enrichment analysis
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          Title: 2.5 Computational resources
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        Title: 3 Results
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         Item: 
          Title: 3.1 Virtual population distribution matched literature patient demographics
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         Item: 
          Title: 3.2 Physiologically based pharmacokinetic models fitted literature data
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         Item: 
          Title: 3.3 SB and QSP models were able to reproduce known biological and clinical activity
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          Title: 3.4 Patient-specific QSP mechanistic models can be clustered according to their molecular variability
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        Title: 4 Discussion
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        Title: 5 Conclusion
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        Title: Data availability statement
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       Item: 
        Title: Author contributions
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        Title: Funding
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       Item: 
        Title: Acknowledgments
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       Item: 
        Title: Supplementary material
        Destination: bmark_632582120
       Item: 
        Title: References
        Destination: bmark_2090415954
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    Title: A quantitative systems pharmacology model for certolizumab pegol treatment in moderate-to-severe psoriasis
    Author: Pablo Coto-Segura
    Subject: Coto-Segura P, Segú-Vergés C, Martorell A, Moreno-Ramírez D, Jorba G, Junet V, Guerri F, Daura X, Oliva B, Cara C, Suárez-Magdalena O, Abraham S and Mas JM (2023) A quantitative systems pharmacology model for certolizumab pegol treatment in moderate-to-severe psoriasis. Front. Immunol. 14:1212981
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               <rdf:li xml:lang="x-default">Copyright © 2023 Coto-Segura, Segú-Vergés, Martorell, Moreno-Ramírez, Jorba, Junet, Guerri, Daura, Oliva, Cara, Suárez-Magdalena, Abraham and Mas. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</rdf:li>
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  Checksum: 4b150e7401dc4405e3c54e564663715f
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