Model Integration in Computational Biology: The Role of Reproducibility, Credibility and Utility.
computational modeling
credibility
crisis
reproducibility
simulation
Journal
Frontiers in systems biology
ISSN: 2674-0702
Titre abrégé: Front Syst Biol
Pays: Switzerland
ID NLM: 9918435075106676
Informations de publication
Date de publication:
2022
2022
Historique:
entrez:
13
3
2023
pubmed:
1
1
2022
medline:
1
1
2022
Statut:
ppublish
Résumé
During the COVID-19 pandemic, mathematical modeling of disease transmission has become a cornerstone of key state decisions. To advance the state-of-the-art host viral modeling to handle future pandemics, many scientists working on related issues assembled to discuss the topics. These discussions exposed the reproducibility crisis that leads to inability to reuse and integrate models. This document summarizes these discussions, presents difficulties, and mentions existing efforts towards future solutions that will allow future model utility and integration. We argue that without addressing these challenges, scientists will have diminished ability to build, disseminate, and implement high-impact multi-scale modeling that is needed to understand the health crises we face.
Identifiants
pubmed: 36909847
doi: 10.3389/fsysb.2022.822606
pmc: PMC10002468
mid: NIHMS1874320
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : NIGMS NIH HHS
ID : P41 GM103712
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM122424
Pays : United States
Organisme : NIBIB NIH HHS
ID : U24 EB028887
Pays : United States
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