This repository contains the supplementary information associated to the paper "*Modeling and simulation of biological systems using SPICE language*", published in *PLOS one* in August, 2017 ([https://doi.org/10.1371/journal.pone.0182385][1]). It is composed of 5 folders. The folder **Python Source Scripts** contains 5 Python scripts: - *SPICEBBS.py* contains the function used for the parsing of a BB-SPICE netlist and its translation into a .cir file or into a SBML file. - *nodemodifier.py* contains a function that handles name conflicts during the translation process. - *SBML2SPICE.py* contains the function used for the translation of a SBML file into a .cir file. - *Repressilator_generator.py* is the script that generates the artificial gene regulatory networks used in the Benchmark 3. - *Metabolic_generator.py* is the script that generates the random artificial metabolic pathways used in Benchmark 4. The folder **Benchmark #1 - Exemplary Models in BBSPICE** contains the BB-SPICE netlists as well as the translated .cir files and SBML descriptions of the 18 models used to validate BB-SPICE. They are described in the paper in Table 3. The folder **Benchmark #2 - Exemplary Models in SBML** contains the SBML descriptions as well as the translated .cir files of the 25 models picked up from the BioModels database and used to validatethe SBML-to-SPICE translator. They are described in the paper in Table 4. The folder **Benchmark #3 - Artificial Gene Regulatory Networks (Repressilators)** contains the BB-SPICE netlists as well as the translated .cir files and SBML descriptions for artificial gene regulatory networks (based on the principle of the repressilator) composed of 8 up to 10,000 reactions and species. The benchmark is used to compare the performances of NGSPICE and COPASI on *Time Course* (or *Transient*) simulations. Results are described in the paper in Figure 5. The folder **Benchmark #4 - Artificial Metabolic Pathways** contains the BB-SPICE netlists as well as the translated .cir files and SBML descriptions for artificial metabolic pathways composed of 3 to 10,000 species and 3 to 10,000 reactions. The benchmark is used to compare the performances of NGSPICE and COPASI on the *Steady State* (or *Operating Point*) simulations. Results are described in the paper in Figure 5. [1]: https://doi.org/10.1371/journal.pone.0182385