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Manuscript Submission Deadline 31 October 2022
Manuscript Extension Submission Deadline 30 November 2022

Integration of omics datasets is an outstanding challenge in the understanding and treatment of disease. Executable regulatory networks marrying disparate datasets to documented mechanistic interactions represented as directed regulatory graphs are a powerful tool for systems-level analysis of biological systems. There is growing interest in the development and application of executable biology methods to the study of host-pathogen dynamics, chronic immune dysregulation, cancer, and metabolic disease. In an advance on conventional multivariate statistical or machine-learning tools, executable biology methods can be used to discern the regulatory logic governing the dynamics of biological systems, enabling the development of in silico testbeds for hypothesis generation and simulation of potential experimental manipulations

In this research topic, we welcome manuscripts which advance novel methods for executable biological network construction and/or tuning to experimental data, novel applications of executable networks to human disease, or use of executable networks to guide design of experiments and/or treatment.

We welcome contributions in the form of original research, reviews, and experimental and computational studies on the following themes:
1) Novel methods for the assembly and tuning of executable biological regulatory networks informed by experimental data
2) Applications of executable networks to human disease
3) Use of executable networks to guide the design of experiments

Keywords: Executable Biology Models, Executable Networks, Systems Biology, Methods


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

Integration of omics datasets is an outstanding challenge in the understanding and treatment of disease. Executable regulatory networks marrying disparate datasets to documented mechanistic interactions represented as directed regulatory graphs are a powerful tool for systems-level analysis of biological systems. There is growing interest in the development and application of executable biology methods to the study of host-pathogen dynamics, chronic immune dysregulation, cancer, and metabolic disease. In an advance on conventional multivariate statistical or machine-learning tools, executable biology methods can be used to discern the regulatory logic governing the dynamics of biological systems, enabling the development of in silico testbeds for hypothesis generation and simulation of potential experimental manipulations

In this research topic, we welcome manuscripts which advance novel methods for executable biological network construction and/or tuning to experimental data, novel applications of executable networks to human disease, or use of executable networks to guide design of experiments and/or treatment.

We welcome contributions in the form of original research, reviews, and experimental and computational studies on the following themes:
1) Novel methods for the assembly and tuning of executable biological regulatory networks informed by experimental data
2) Applications of executable networks to human disease
3) Use of executable networks to guide the design of experiments

Keywords: Executable Biology Models, Executable Networks, Systems Biology, Methods


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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