Showing posts with label parameter. Show all posts
Showing posts with label parameter. Show all posts

How to deal with parameters for whole-cell modelling

Mike's Notes

Pipi has thousands of parameters, which make it challenging to finely adjust for desired system-level emergent properties.

How to Deal With Parameters for Whole-Cell Modelling is a paper published in the Journal of the Royal Society in 2017. I found the paper listed in the publications from the Theoretical Systems Biology Group at Melbourne University, led by Prof. Michael Stumpf. They are dealing with the same issues. This Research Group could be a great resource.

Resources

References

  • How to Deal With Parameters for Whole-Cell Modelling

Repository

  • Home > Ajabbi Research > Library >
  • Home > Handbook > 

Last Updated

17/05/2025

Article

By: 
theosybio.com: 25/12/2023

Most models in cell biology are either based on simple networks or stoichiometric metabolic models, or deal only with small pathways. Ultimately we will require models of whole cells. We are interested in combining approaches from text-mining, bioinformatics, comparative genomics, statistical inference, machine learning, and mathematical modelling to arrive at models for whole cells. In the first instance, we are focusing on bacteria.

Ultimately, such models are 

  1. the most stringent test of our understanding; and 
  2. an essential prerequisite for applying rational design and engineering approaches to biological systems. Maintaining the balance of model complexity to explanatory power is a conceptually hugely exciting problem, and tackling parameter inference for thousands of parameters is technically equally exciting.

Representative Publications

Markus Covert and Mycoplasma

Mike's Notes

This is part of why I rebuilt Pipi 6 from memory.

Resources

References

  • Fundamentals of Systems Biology

Repository

  • Home > Ajabbi Research > Library > Authors > Markus Covert
  • Home > Handbook > 

Last Updated

11/05/2025

Markus Covert and Mycoplasma

By: Mike Peters
On a Sandy Beach: 10/03/2022

Mike is the inventor and architect of Pipi and the founder of Ajabbi.

In 2014, I read an article in Scientific American by Markus Covert at Stanford about the successful computer cellular simulation of Mycoplasma. It was a fascinating article that made me think about Pipi and whether it could have been better built during 2005-2008.

When my wife and I left Christchurch in 2014 to start a new life, I became curious about modern cloud computing and read a great deal. Then, I realised that PIPI was a very early form of cloud computing, and many of its features were 10 years ahead of their time. What a waste!

By 2016, I was mad about missing the opportunity and decided to rebuild Pipi as a core platform from memory.

From 2017 to 2019, Pipi 6 was built by fusing the rebuilt core platform with Covert Lab's open-source cellular simulation software. This process was challenging and resulted in an unusual architecture. Every process was given a random probability, with many positive and negative feedback loops. It was like composing music. (In hindsight, synesthesia helped a lot.)

From Wikipedia

Markus W. Covert (born April 24, 1973) 

is a researcher and professor of bioengineering at Stanford University who led the simulation of the first organism in software.[1][2][3] Covert leads an interdisciplinary lab of approximately 10 graduate students and post-doctoral scholars.[4]



From Covert Lab