BioSANS

BioSANS supports systems biology modeling by enabling deterministic and stochastic analysis of biochemical reaction networks.

Key Features:

• Modeling Capabilities: Supports symbolic computation, analytical solutions, parameter estimation, and both deterministic and stochastic propagation methods for biochemical system analysis.
• Topology Input Method: Provides a semi-programmable method for specifying biochemical reaction topologies.
• SBML Compliance: Complies with Systems Biology Markup Language (SBML) and supports semantic and stochastic SBML test cases.
• Testing and Reliability: Validated against symbolic solutions and parameter estimation scenarios and passes most SBML tests.

Scientific Applications:

• Kinetics and dynamics analysis: Enables study of the kinetics and dynamics of biochemical systems using analytical and stochastic approaches.
• Drug discovery: Supports mechanistic modeling and parameter estimation relevant to drug discovery research.
• Metabolic engineering: Facilitates quantitative modeling and parameter fitting for metabolic engineering applications.
• Disease mechanism investigation: Aids modeling of biochemical mechanisms underlying disease processes.

Methodology:

Implemented in Python and integrating symbolic computation for analytical solutions, deterministic and stochastic propagation methods for simulation, and parameter estimation for model refinement.