Your browser doesn't support javascript.
loading
Application of the Interagency and Modeling Analysis Group Model Verification Approach for Scientific Reproducibility in a Study of Biomineralization.
Khare, Eesha; Peng, Xiangjun; Martín-Moldes, Zaira; Genin, Guy M; Kaplan, David L; Buehler, Markus J.
Afiliação
  • Khare E; Laboratory for Atomistic and Molecular Mechanics, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States.
  • Peng X; Department of Materials Science and Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States.
  • Martín-Moldes Z; NSF Science and Technology Center for Engineering Mechanobiology, Washington University, St. Louis, Missouri 63130, United States.
  • Genin GM; Department of Biomedical Engineering, Tufts University, Medford, Massachusetts 02155, United States.
  • Kaplan DL; NSF Science and Technology Center for Engineering Mechanobiology, Washington University, St. Louis, Missouri 63130, United States.
  • Buehler MJ; Department of Biomedical Engineering, Tufts University, Medford, Massachusetts 02155, United States.
ACS Biomater Sci Eng ; 9(7): 4101-4107, 2023 07 10.
Article em En | MEDLINE | ID: mdl-37288994
ABSTRACT
Model verification is a critical aspect of scientific accountability, transparency, and learning. Here, we demonstrate an application of a model verification approach for a molecular dynamics (MD) simulation, where the interactions between silica and silk protein were studied experimentally toward understanding biomineralization. Following the ten rules for credible modeling and simulation of biosciences as developed in Erdemir et al., the authors of the original paper collaborated with an external modeling group to verify the key findings of their original simulation model and to document this verification approach. The process resulted in successful replication of the key findings of the original model. Beyond verification, study of the model from a new perspective generated new insight into the basic assumptions. We discuss key learnings for how model validation processes can be improved more generally, specifically through improved documentation methods. We anticipate that this application of our protocol for model verification can be further replicated and improved to verify and validate other simulations.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biomineralização Tipo de estudo: Prognostic_studies Idioma: En Revista: ACS Biomater Sci Eng Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: EEUU / ESTADOS UNIDOS / ESTADOS UNIDOS DA AMERICA / EUA / UNITED STATES / UNITED STATES OF AMERICA / US / USA

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biomineralização Tipo de estudo: Prognostic_studies Idioma: En Revista: ACS Biomater Sci Eng Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: EEUU / ESTADOS UNIDOS / ESTADOS UNIDOS DA AMERICA / EUA / UNITED STATES / UNITED STATES OF AMERICA / US / USA