How to build an agent-based model of a cell signaling network

Hot off the press at The Digital Biologist is this tutorial on how to build a dynamic, agent-based model of a cell signaling network. 

Computational modeling can be a really invaluable adjunct to any kind of laboratory-based R&D program studying complex biological systems like cell signaling pathways. Beyond the widely-recognized predictive abilities of models, they can be used to generate and test new hypotheses, design new laboratory experiments, and suggest which are the most important experiments to do next to advance the research.

If you’ve ever thought about including modeling in your own R&D program, this article is for you!