Stochastic simulation model of poliovirus Sabin-to-Mahoney genetic state transition (C++ code). Models genotypes, virus populations, and quasispecies cloud. Simulates replication error and copy-choice recombination. Various parameters guiding the model are user-specified. Python code post-processes simulation output to produce report files.

Features

  • Simulates Picornavirus replication error and copy-choice recombination
  • Represents genotypes, cell populations, and quasispecies cloud
  • Allows user control of parameters: MOI, replication error rate, recombination rate, generational growth rate, burst size, number of passages, number of cells, fitness acceleration, Mahoney mutational synergy
  • Reports population diversity, average fitness, neurovirulence, Mahoney resemblence

Project Activity

See All Activity >

Categories

Bio-Informatics

License

GNU General Public License version 3.0 (GPLv3)

Follow Virus QSP Modeling

Virus QSP Modeling Web Site

Other Useful Business Software
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

The database for AI-powered applications.

MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Virus QSP Modeling!

Additional Project Details

Intended Audience

Science/Research, Education, Advanced End Users, Developers

Programming Language

Python, C++

Related Categories

Python Bio-Informatics Software, C++ Bio-Informatics Software

Registered

2016-02-19