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MEDUSA for Identifying Death Regulatory Genes in Chemo-genetic Profiling Data

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Mathematical Models of Death Signaling Networks.

Madhumita Srinivasan¹, Robert Clarke², Pavel Kraikivski³

¹College of Architecture, Arts, and Design, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA.

Entropy (Basel, Switzerland)

|July 8, 2023

Summary

Computational and systems biologists are advancing the understanding of the cell death network, a complex decision-making system controlling cell death. This review highlights mathematical models for characterizing these mechanisms and suggests future research directions.

Keywords:

apoptosis cell death computational analysis death execution pathways ferroptosis immunogenic cell death mathematical models necroptosis pyroptosis regulatory networks

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Area of Science:

Computational biology
Systems biology
Molecular biology

Background:

Cell death is regulated by a complex network involving multiple molecular circuits.
Individual cell death pathways are increasingly understood, but the overall regulatory network remains poorly defined.
Understanding the dynamic behavior of this network requires systems-oriented approaches.

Purpose of the Study:

To review the progress in characterizing cell death regulatory mechanisms using computational and systems biology approaches.
To define the cell death network as a decision-making mechanism controlling molecular circuits.
To identify future research directions in the field of cell death regulation.

Main Methods:

Literature review of computational and systems biology studies.
Analysis of mathematical models applied to cell death mechanisms.
Synthesis of current understanding of the cell death network.

Main Results:

Significant progress has been made in characterizing individual cell death pathways.
The cell death decision network, with its feedback and feed-forward loops, is complex and not fully understood.
Mathematical modeling is crucial for understanding the dynamic behavior of the cell death network.

Conclusions:

Computational and systems biology approaches are essential for dissecting the cell death network.
Further development and application of mathematical models are needed to elucidate cell death regulation.
Future research should focus on the integrated understanding of the cell death decision network.