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model

Microglial-Amyloid-Cytokine Activation Model (v1)

🧮 Model Details Biophysical
Internalcandidate
ARCHITECTURE
scipy
METRICS
parameter_count
8
training_config
{'y0': [5.0, 5.0, 0.05], 'spec': 'd16-23-BMOD0001', 'integrator': 'LSODA', 't_span_hours': [0.0, 500.0], 'metadata_path': 'data/models/microglial_activation_v1.json', 'default_params': {'M_max': 200.0, 'k_act': 0.001, 'k_prod': 0.5, 'k_clear': 0.08, 'k_deact': 0.05, 'k_phago': 0.002, 'k_degrade': 0.3, 'k_secrete': 0.01}, 'disease_params': {'M_max': 200.0, 'k_act': 0.001, 'k_prod': 1.0, 'k_clear': 0.04, 'k_deact': 0.05, 'k_phago': 0.002, 'k_degrade': 0.3, 'k_secrete': 0.01}}
benchmark_name
Microglial-Amyloid-Cytokine ODE Activation Model v1
benchmark_notes
LSODA integrator; validated against steady-state microglial activation levels in AD pathology
evaluation_metrics
{'disease_steady_state': {'A_ss': 9.584069468636633, 'C_ss': 1.0723301886790049, 'M_ss': 32.16990566069662, 'A_peak': 11.296070300995574, 'C_peak': 1.0810399865290428, 'M_peak': 32.45214326398695}, 'healthy_steady_state': {'A_ss': 4.439674320951077, 'C_ss': 0.5436812246932378, 'M_ss': 16.310436740757225, 'A_peak': 5.129385021949001, 'C_peak': 0.5438213855443438, 'M_peak': 16.314928500699782}, 'sensitivity_baseline': {'ss_M': 16.310436740757225, 'auc_C': 265.33277301575845, 'peak_A': 5.129385021949001}}
EVALUATION CONTEXT
Dataset:In silico trajectory validation — healthy (k_prod=0.5) vs disease (k_prod=1.0) parameter regimes over 500hr
Benchmark:Microglial-Amyloid-Cytokine ODE Activation Model v1
Training data:Parameters from published neuroinflammation kinetics integrated with SEA-AD KG; 8 parameters fitted
Related Entities
A-betaMicrogliaIL-6APPTREM2
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