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k-dense-ai/scientific-agent-skills

v2.72.0MIT

Ready-to-use scientific and research Agent Skills for biology, chemistry, medicine, and related workflows.

13c-metabolic-flux

Estimates intracellular metabolic fluxes from steady-state carbon-13 isotope-tracing measurements using validated atom maps, mfapy isotope simulation, constrained multistart fitting, and flux-profile diagnostics. Use for 13C-MFA, carbon tracing, mass isotopomer distributions (MDVs/MIDs), positional isotopomers, parallel tracer experiments, and determining whether labeling data constrain a pathway flux. Distinguishes measured-label inference from COBRA flux balance analysis and flags experiments requiring nonstationary MFA.

Version
1.2
License
MIT
Compatibility
Python 3.12 with uv and Git for installation. Tested with mfapy 0.6.3 at a10433af16682386548b360297e2476152d46ede, NumPy 2.5.3, SciPy 1.18.1, and NLopt 2.11.0. Network access is needed only to install public dependencies. Inference runs locally without credentials; inputs are JSON.
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