Scientific and regulatory evaluation of mechanistic in silico drug and disease models in drug development: Building model credibility

Abstract The value of in silico methods in drug development and evaluation has been demonstrated repeatedly and convincingly. While their benefits are now unanimously recognized, international standards for their evaluation, accepted by all stakeholders involved, are still to be established. In this...

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Autores principales: Flora T. Musuamba, Ine Skottheim Rusten, Raphaëlle Lesage, Giulia Russo, Roberta Bursi, Luca Emili, Gaby Wangorsch, Efthymios Manolis, Kristin E. Karlsson, Alexander Kulesza, Eulalie Courcelles, Jean‐Pierre Boissel, Cécile F. Rousseau, Emmanuelle M. Voisin, Rossana Alessandrello, Nuno Curado, Enrico Dall’ara, Blanca Rodriguez, Francesco Pappalardo, Liesbet Geris
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Publicado: Wiley 2021
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spelling oai:doaj.org-article:97e2e67f5a5b4314bf9e9f73a5497dde2021-11-19T15:35:29ZScientific and regulatory evaluation of mechanistic in silico drug and disease models in drug development: Building model credibility2163-830610.1002/psp4.12669https://doaj.org/article/97e2e67f5a5b4314bf9e9f73a5497dde2021-08-01T00:00:00Zhttps://doi.org/10.1002/psp4.12669https://doaj.org/toc/2163-8306Abstract The value of in silico methods in drug development and evaluation has been demonstrated repeatedly and convincingly. While their benefits are now unanimously recognized, international standards for their evaluation, accepted by all stakeholders involved, are still to be established. In this white paper, we propose a risk‐informed evaluation framework for mechanistic model credibility evaluation. To properly frame the proposed verification and validation activities, concepts such as context of use, regulatory impact and risk‐based analysis are discussed. To ensure common understanding between all stakeholders, an overview is provided of relevant in silico terminology used throughout this paper. To illustrate the feasibility of the proposed approach, we have applied it to three real case examples in the context of drug development, using a credibility matrix currently being tested as a quick‐start tool by regulators. Altogether, this white paper provides a practical approach to model evaluation, applicable in both scientific and regulatory evaluation contexts.Flora T. MusuambaIne Skottheim RustenRaphaëlle LesageGiulia RussoRoberta BursiLuca EmiliGaby WangorschEfthymios ManolisKristin E. KarlssonAlexander KuleszaEulalie CourcellesJean‐Pierre BoisselCécile F. RousseauEmmanuelle M. VoisinRossana AlessandrelloNuno CuradoEnrico Dall’araBlanca RodriguezFrancesco PappalardoLiesbet GerisWileyarticleTherapeutics. PharmacologyRM1-950ENCPT: Pharmacometrics & Systems Pharmacology, Vol 10, Iss 8, Pp 804-825 (2021)
institution DOAJ
collection DOAJ
language EN
topic Therapeutics. Pharmacology
RM1-950
spellingShingle Therapeutics. Pharmacology
RM1-950
Flora T. Musuamba
Ine Skottheim Rusten
Raphaëlle Lesage
Giulia Russo
Roberta Bursi
Luca Emili
Gaby Wangorsch
Efthymios Manolis
Kristin E. Karlsson
Alexander Kulesza
Eulalie Courcelles
Jean‐Pierre Boissel
Cécile F. Rousseau
Emmanuelle M. Voisin
Rossana Alessandrello
Nuno Curado
Enrico Dall’ara
Blanca Rodriguez
Francesco Pappalardo
Liesbet Geris
Scientific and regulatory evaluation of mechanistic in silico drug and disease models in drug development: Building model credibility
description Abstract The value of in silico methods in drug development and evaluation has been demonstrated repeatedly and convincingly. While their benefits are now unanimously recognized, international standards for their evaluation, accepted by all stakeholders involved, are still to be established. In this white paper, we propose a risk‐informed evaluation framework for mechanistic model credibility evaluation. To properly frame the proposed verification and validation activities, concepts such as context of use, regulatory impact and risk‐based analysis are discussed. To ensure common understanding between all stakeholders, an overview is provided of relevant in silico terminology used throughout this paper. To illustrate the feasibility of the proposed approach, we have applied it to three real case examples in the context of drug development, using a credibility matrix currently being tested as a quick‐start tool by regulators. Altogether, this white paper provides a practical approach to model evaluation, applicable in both scientific and regulatory evaluation contexts.
format article
author Flora T. Musuamba
Ine Skottheim Rusten
Raphaëlle Lesage
Giulia Russo
Roberta Bursi
Luca Emili
Gaby Wangorsch
Efthymios Manolis
Kristin E. Karlsson
Alexander Kulesza
Eulalie Courcelles
Jean‐Pierre Boissel
Cécile F. Rousseau
Emmanuelle M. Voisin
Rossana Alessandrello
Nuno Curado
Enrico Dall’ara
Blanca Rodriguez
Francesco Pappalardo
Liesbet Geris
author_facet Flora T. Musuamba
Ine Skottheim Rusten
Raphaëlle Lesage
Giulia Russo
Roberta Bursi
Luca Emili
Gaby Wangorsch
Efthymios Manolis
Kristin E. Karlsson
Alexander Kulesza
Eulalie Courcelles
Jean‐Pierre Boissel
Cécile F. Rousseau
Emmanuelle M. Voisin
Rossana Alessandrello
Nuno Curado
Enrico Dall’ara
Blanca Rodriguez
Francesco Pappalardo
Liesbet Geris
author_sort Flora T. Musuamba
title Scientific and regulatory evaluation of mechanistic in silico drug and disease models in drug development: Building model credibility
title_short Scientific and regulatory evaluation of mechanistic in silico drug and disease models in drug development: Building model credibility
title_full Scientific and regulatory evaluation of mechanistic in silico drug and disease models in drug development: Building model credibility
title_fullStr Scientific and regulatory evaluation of mechanistic in silico drug and disease models in drug development: Building model credibility
title_full_unstemmed Scientific and regulatory evaluation of mechanistic in silico drug and disease models in drug development: Building model credibility
title_sort scientific and regulatory evaluation of mechanistic in silico drug and disease models in drug development: building model credibility
publisher Wiley
publishDate 2021
url https://doaj.org/article/97e2e67f5a5b4314bf9e9f73a5497dde
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