GRiNS: a python library for simulating gene regulatory network dynamics.

ABSTRACT:

Background

The emergent dynamics of complex gene regulatory networks govern various cellular processes. However, understanding these dynamics is challenging due to the difficulty of parameterizing the computational models for these networks, especially as the network size increases. Here, we introduce a simulation library, Gene Regulatory Interaction Network Simulator (GRiNS), to address these challenges.

Results

GRiNS integrates popular parameter-agnostic simulation frameworks, RACIPE and Boolean Ising formalism, into a single Python library capable of leveraging GPU acceleration for efficient and scalable simulations. GRiNS extends the ordinary differential equations (ODE) based RACIPE framework with a more modular design, allowing users to choose parameters, initial condi

SUBMITTER: Harlapur P 

PROVIDER: S-EPMC12535162 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature