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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.
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DOI: 10.1093/bioinformatics/btab229
发表时间: 2021-11-05
期刊: Bioinformatics (Oxford, England)
影响因子: --
作者: [Dräger A, Helikar T, Barberis M, Birtwistle M, Calzone L, Chaouiya C, Hasenauer J, Karr JR, Niarakis A, Rodríguez Martínez M, Saez-Rodriguez J, Thakar J]
通讯作者: Thakar J
Hierarchical semantic composition of biosimulation models using bond graphs.
使用键图生物仿真模型的分层语义组成。
DOI: 10.1371/journal.pcbi.1008859
发表时间: 2021-05
期刊: PLoS computational biology
影响因子: 4.3
作者: [Shahidi N, Pan M, Safaei S, Tran K, Crampin EJ, Nickerson DP]
通讯作者: Nickerson DP
DOI: 10.1371/journal.pone.0269497
发表时间: 2022
期刊: PloS one
影响因子: 3.7
作者: []
通讯作者:
DOI: 10.1093/bioinformatics/btad753
发表时间: 2023-12-01
期刊: Bioinformatics (Oxford, England)
影响因子: --
作者: []
通讯作者:
10
    Software tools for reproducibly simulating, analyzing, and visualizing biomodels
    • 批准号:
      10676069
    • 项目类别:
    • 资助金额:
      $15.94万
    • 财政年份:
      2018
    • 负责人:
      Ion I. Moraru
    • 依托单位:
    NEW VCELL APPLICATIONS
    PORTABLE SOLVER SERVICES
    HIGH PERFORMANCE COMPUTING INFRASTRUCTURE FOR THE VIRTUAL CELL
    国内基金
    海外基金
    greenwashing behavior in China:Basedon an integrated view of reconfiguration of environmental authority and decoupling logic
    • 批准号:
      --
    • 项目类别:
      外国学者研究基金项目
    • 资助金额:
      --
    • 批准年份:
      2024
    • 负责人:
      YU BYUNGJUN
    • 依托单位:
    Incentive and governance schenism study of corporate green washing behavior in China: Based on an integiated view of econfiguration of environmental authority and decoupling logic
    • 批准号:
      --
    • 项目类别:
      外国学者研究基金项目
    • 资助金额:
      --
    • 批准年份:
      2024
    • 负责人:
      YU BYUNGJUN
    • 依托单位: