Modeling 5: Gene Regulation
System Modeling 5: Gene Regulation
WIP Summary of Cell Systems 2024 article Versatile system cores as a conceptual basis
for generality in cell and developmental biology
Core and periphery hypothesis for cells and developmental systems
System Modeling 5: Gene Regulation Instructions
SM5: Gene Regulation Instructions
Small Intestine example from Progress in Biophysics & Molecular Biology Special Issue 2016 From the century of the genome to the century of the organism: New theoretical approaches paper on organization. Compare with Bogdanov (click tag)
Biology Principles of Organization and Variation 1
Genética, GSD - Liliana, André, Leonor
Concept maps help us to organize and integrate concepts from one or several sources or fields.
orange = Ochman et al. 2000
green = Fierer et al. 2010
purple = Barbaren et al. 2014
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From Fig 12.2 p317 Pigliucci M and Muller GB (2010) Evolution: The Extended Synthesis
Development dynamic interactions
Causal loop diagram illustrating how evolution, in the form of small incremental change (realized through random genetic mutation) paired with natural selection, serves to evolve species.
Additionally, the diagram illustrates the countering effects of genetic drift, which serves to reduce genetic variation by eliminating beneficial genes.
Evolutionary Change (2-Loop)
From the Plausibility of life book esp p 220-227 Constraints that deconstrain
Facilitated Variation and Evolvability
WIP for planning some relevant online M&S Learning Communities for Health
Online Health Modelling and Simulation Communities
Janeways Immunobiology 9th Edition
WIP based mostly on Jan
Toporowski
2013 vol 1 and
2018 vol 2 books on Michal Kalecki: An Intellectual Biography
Layout Consistent with David Wheat MacroEconomic model CLD Insight by Gene Bellinger
Kalecki economic thought
This is the Project Challenge in the Insight Maker Essentials lesson on Kumu. This lesson was developed by Gene Bellinger. I developed this relationship diagram as I was following along watching Gene introduce Insight Maker.
20150711a_Project
Modified from Sterman (2006) article and Gene Bellinger's Assumptions IM-351 by Dr Rosemarie Sadsad UNSW See also Complex Decision Technologies IM and IM-63975
Virtual Experiments
Go to Gene Bellinger's insight version with video link This common archetype of systems that include relapse or recidivism allows exploration of the unintended effects of increasing upstream capacity and swamping downstream capacity. The increase in the relapse rate eventually returns to swamp upstream capacity as well. A social welfare example, based on a TANF case study, from How Small System Dynamics Models Can Help the Policy Process. N. Ghaffarzadegan, J. Lyneis, GP Richardson. System Dynamics Review 27,1 (2011) 22-44 abstract Conference version here
Swamping Insight
