Center for Reproducible Systems for Biomedical Modeling

NIH RePORTER · NIH · P41 · $1,289,405 · view on reporter.nih.gov ↗

Abstract

OVERALL: PROJECT SUMMARY The long-term goal of the Center for Reproducible Biomedical Modeling is to achieve comprehensive predictive models of biological systems, such as whole-cell models, that can guide precision medicine and synthetic biology. One promising way to build comprehensive models is to combine models of individual biological processes. This requires understandable, reproducible, reusable, and composable models of individual biological processes. Unfortunately, few existing models are reproducible, reusable, or composable. For example, many reported models are not published, many reported simulation results are not reproducible, and few models are annotated. Recently, researchers have developed several standard representations such as SBML and SED-ML to make models reusable and make simulation results reproducible. However, it is still difficult to understand, reproduce, and combine models because we lack tools for recording the data sources and assumptions used to build models, we lack tools for annotating the meanings of variables and equations, and we lack a universal simulator. Toward our long-term goal of achieving comprehensive models, we will make models understandable, reproducible, reusable, and composable by (1) developing these missing model building, annotation, and simulation tools and (2) combining these and other existing tools into a user-friendly reproducible modeling workflow. Ultimately, we believe this workflow will help modelers create comprehensive models that can guide medicine and bioengineering. We will strive to build broadly-applicable domain-independent tools. However, to help us to test our tools, we will initially focus on tools for systems biology models of cells. To ensure the center's tools advance modeling, the tools will be developed in conjunction with several motivating collaborative and service projects that span a wide range of modeling methods and biological and application domains. To further advance the understandability, reproducibility, and reusability of biomedical modeling, we will (1) promote the importance of reproducible modeling by organizing meetings and publishing perspectives; (2) train researchers to conduct modeling reproducibly by organizing workshops and publishing tutorials; and (3) help researchers and journals build, annotate, simulate, analyze, and verify models. The center would be one of the first large-scale efforts to make biomedical modeling reproducible, and the center would be timely given the increasing concern about the irreproducibility of biomedical research. We anticipate that this unique center will accelerate the development of comprehensive predictive models by enhancing the understandability, reusability, and reproducibility of biomedical modeling.

Key facts

NIH application ID
10192514
Project number
5P41EB023912-04
Recipient
UNIVERSITY OF WASHINGTON
Principal Investigator
Ion I. Moraru
Activity code
P41
Funding institute
NIH
Fiscal year
2022
Award amount
$1,289,405
Award type
5
Project period
2018-06-13 → 2024-02-29