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

Build gen AI apps with an all-in-one modern database: MongoDB Atlas

MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
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

Advanced End Users, Developers, Education, Science/Research

Programming Language

C++, Python

Related Categories

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

Registered

2016-02-19