Advances in systems biology modeling: 10 years of crowdsourcing DREAM challenges

Computational and mathematical models are key to obtain a system-level understanding of biological processes, but their limitations have to be clearly defined to allow their proper application and interpretation. Crowdsourced benchmarks in the form of challenges provide an unbiased assessment of met...

Full description

Saved in:
Bibliographic Details
Main Authors: Meyer, Pablo (Author) , Sáez Rodríguez, Julio (Author)
Format: Article (Journal)
Language:English
Published: June 16, 2021
In: Cell systems
Year: 2021, Volume: 12, Issue: 6, Pages: 636-653
ISSN:2405-4720
DOI:10.1016/j.cels.2021.05.015
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.cels.2021.05.015
Verlag, lizenzpflichtig, Volltext: https://www.sciencedirect.com/science/article/pii/S2405471221002015
Get full text
Author Notes:Pablo Meyer and Julio Saez-Rodriguez
Description
Summary:Computational and mathematical models are key to obtain a system-level understanding of biological processes, but their limitations have to be clearly defined to allow their proper application and interpretation. Crowdsourced benchmarks in the form of challenges provide an unbiased assessment of methods, and for the past decade, the Dialogue for Reverse Engineering Assessment and Methods (DREAM) organized more than 15 systems biology challenges. From transcription factor binding to dynamical network models, from signaling networks to gene regulation, from whole-cell models to cell-lineage reconstruction, and from single-cell positioning in a tissue to drug combinations and cell survival, the breadth is broad. To celebrate the 5-year anniversary of Cell Systems, we review the genesis of these systems biology challenges and discuss how interlocking the forward- and reverse-modeling paradigms allows to push the rim of systems biology. This approach will persist for systems levels approaches in biology and medicine.
Item Description:Gesehen am 16.07.2021
Physical Description:Online Resource
ISSN:2405-4720
DOI:10.1016/j.cels.2021.05.015