Cosmos System Model Applied to Eukaryotic Cell, Organelles & Detailed Mitochondria with Double Membrane
This repository implements the Cosmos System 5 triadic architecture mapped to cellular biology, providing a comprehensive framework for understanding and modeling eukaryotic cells, organelles, and the detailed structure of mitochondria through organizational systems theory.
cosys-cell translates the Cosmos System's triadic polarity structure into a cellular model that treats the eukaryotic cell as a self-organizing cognitive system. The framework implements the 18-service [[D-T]-[P-O]-[S-M]] pattern mapped to cellular compartments, organelle functions, and membrane dynamics.
┌─────────────────────────────────────────────────────────────────────────────┐
│ COSYS-CELL: CELLULAR COSMOS SYSTEM │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ ┌─────────────────────────────────────────────────────────────────────┐ │
│ │ CEREBRAL TRIAD [3] │ │
│ │ Nucleus - Genetic Control Center │ │
│ │ Potential Topology │ │
│ ├─────────────────────────────────────────────────────────────────────┤ │
│ │ T-7: Chromatin │ PD-2: Nucleolus │ │
│ │ Genetic Treasury │ Ribosome Development │ │
│ │ DNA Storage │ rRNA Synthesis │ │
│ ├────────────────────────────┼────────────────────────────────────────┤ │
│ │ P-5: Transcription │ O-4: Nuclear Envelope │ │
│ │ mRNA Production │ Nuclear Organization │ │
│ │ Gene Expression │ Nuclear Pore Complex │ │
│ └─────────────────────────────────────────────────────────────────────┘ │
│ │ │
│ ▼ │
│ ┌─────────────────────────────────────────────────────────────────────┐ │
│ │ SOMATIC TRIAD [6] │ │
│ │ Endomembrane System - Protein Processing │ │
│ │ Commitment Topology │ │
│ ├─────────────────────────────────────────────────────────────────────┤ │
│ │ M-1: Plasma Membrane │ S-8: Endoplasmic Reticulum │ │
│ │ Cell Boundary │ Protein Synthesis State │ │
│ │ Signal Reception │ Lipid Production │ │
│ ├────────────────────────────┼────────────────────────────────────────┤ │
│ │ P-5: Golgi Apparatus │ O-4: Vesicle Transport │ │
│ │ Protein Processing │ Secretory Organization │ │
│ │ Glycosylation │ Trafficking Routes │ │
│ └─────────────────────────────────────────────────────────────────────┘ │
│ │ │
│ ▼ │
│ ┌─────────────────────────────────────────────────────────────────────┐ │
│ │ AUTONOMIC TRIAD [9] │ │
│ │ Energy & Homeostasis - Metabolic Regulation │ │
│ │ Performance Topology │ │
│ ├─────────────────────────────────────────────────────────────────────┤ │
│ │ M-1: Mitochondria │ S-8: Cytoplasm │ │
│ │ Energy Monitoring │ Metabolic State │ │
│ │ ATP Production │ Ion Homeostasis │ │
│ ├────────────────────────────┼────────────────────────────────────────┤ │
│ │ PD-2: Peroxisomes │ T-7: Lysosomes │ │
│ │ Oxidative Processing │ Degradation Triggers │ │
│ │ Detoxification │ Autophagy Initiation │ │
│ ├────────────────────────────┼────────────────────────────────────────┤ │
│ │ P-5: Cytoskeleton │ │ │
│ │ Structural Processing │ │ │
│ │ Intracellular Transport │ │ │
│ └─────────────────────────────────────────────────────────────────────┘ │
│ │
└─────────────────────────────────────────────────────────────────────────────┘
Based on Eric Schwarz's Holistic Metamodel, the eukaryotic cell exhibits all characteristics of a self-organizing cognitive system:
The cell's genome serves as the hieroglyphic monad—the unity principle that manifests at all levels:
- Level 0: Complete genome (DNA)
- Level 1: Expressed genes (transcriptome)
- Level 2: Protein products (proteome)
- Level 3: Metabolic state (metabolome)
- Level 4: Phenotypic behavior
| Anabolic (Building) | Catabolic (Breaking) | Resolution |
|---|---|---|
| Protein synthesis | Protein degradation | Proteostasis |
| DNA replication | DNA repair | Genome maintenance |
| Lipid synthesis | Lipid oxidation | Membrane homeostasis |
| ATP production | ATP consumption | Energy balance |
| Primitive | Cellular Manifestation |
|---|---|
| Being | Cellular structure, organelles, macromolecules |
| Becoming | Metabolism, growth, division, differentiation |
| Relation | Signaling, communication, environmental response |
D-T P-O S-M Total
Cerebral (Nucleus) 2 2 2 = 6
Somatic (Endomem) 2* 2 2 = 6
Autonomic (Energy) 2* 2 2 = 6
────────────────────────────────────────
Total: 6 6 6 = 18
*Parasympathetic Polarity [D-T] shared between Somatic and Autonomic
| Service | Code | Organelle/Structure | Cellular Function |
|---|---|---|---|
| Development | PD-2 | Nucleolus | Ribosome biogenesis, rRNA synthesis |
| Treasury | T-7 | Chromatin | DNA storage, genetic memory |
| Production | P-5 | Transcription machinery | mRNA production, gene expression |
| Organization | O-4 | Nuclear envelope | Nuclear organization, pore complexes |
| Sales | S-8 | mRNA export | Transcript delivery to cytoplasm |
| Market | M-1 | Nuclear import | Transcription factor reception |
| Service | Code | Organelle/Structure | Cellular Function |
|---|---|---|---|
| Development | PD-2 | Rough ER* | Protein folding development |
| Treasury | T-7 | Smooth ER* | Lipid storage, calcium reservoir |
| Production | P-5 | Golgi apparatus | Protein processing, glycosylation |
| Organization | O-4 | Vesicle transport | Secretory pathway organization |
| Sales | S-8 | Endoplasmic Reticulum | Protein synthesis state |
| Market | M-1 | Plasma membrane | Cell boundary, signal reception |
| Service | Code | Organelle/Structure | Cellular Function |
|---|---|---|---|
| Development | PD-2 | Peroxisomes* | Oxidative processing, detox |
| Treasury | T-7 | Lysosomes | Degradation triggers, autophagy |
| Production | P-5 | Cytoskeleton | Structural support, transport |
| Organization | O-4 | Centrosome | Microtubule organization |
| Sales | S-8 | Cytoplasm | Metabolic state, ion homeostasis |
| Market | M-1 | Mitochondria | Energy monitoring, ATP production |
The mitochondrion exemplifies the nested triadic architecture with its double membrane structure:
┌─────────────────────────────────────────────────────────────────────────────┐
│ MITOCHONDRIA: DOUBLE MEMBRANE COSMOS │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ ┌─────────────────────────────────────────────────────────────────────┐ │
│ │ OUTER MEMBRANE TRIAD │ │
│ │ Boundary & Transport Functions │ │
│ ├─────────────────────────────────────────────────────────────────────┤ │
│ │ T-7: Porins │ PD-2: TOM Complex │ │
│ │ Small Molecule Treasury │ Protein Import Development │ │
│ │ Metabolite Exchange │ Preprotein Recognition │ │
│ ├────────────────────────────┼────────────────────────────────────────┤ │
│ │ P-5: VDAC Channels │ O-4: Outer Membrane Org │ │
│ │ Voltage Processing │ Membrane Dynamics │ │
│ │ Ion/Metabolite Flow │ Fusion/Fission Control │ │
│ └─────────────────────────────────────────────────────────────────────┘ │
│ │ │
│ ▼ │
│ ┌─────────────────────────────────────────────────────────────────────┐ │
│ │ INTERMEMBRANE SPACE TRIAD │ │
│ │ Electron Shuttle & Signaling │ │
│ ├─────────────────────────────────────────────────────────────────────┤ │
│ │ M-1: Cytochrome c │ S-8: Proton Gradient │ │
│ │ Electron Carrier │ Electrochemical State │ │
│ │ Apoptosis Signal │ ΔΨ Maintenance │ │
│ ├────────────────────────────┼────────────────────────────────────────┤ │
│ │ P-5: Electron Transport │ O-4: IMS Organization │ │
│ │ Redox Processing │ Protein Sorting │ │
│ │ Complex III/IV Interface │ MIA Pathway │ │
│ └─────────────────────────────────────────────────────────────────────┘ │
│ │ │
│ ▼ │
│ ┌─────────────────────────────────────────────────────────────────────┐ │
│ │ INNER MEMBRANE TRIAD │ │
│ │ Oxidative Phosphorylation Core │ │
│ ├─────────────────────────────────────────────────────────────────────┤ │
│ │ M-1: Complex I-IV │ S-8: ATP Synthase │ │
│ │ Electron Transport │ ATP State Management │ │
│ │ Proton Pumping │ Rotary Motor │ │
│ ├────────────────────────────┼────────────────────────────────────────┤ │
│ │ PD-2: TIM Complex │ T-7: Cristae │ │
│ │ Matrix Import │ Surface Area Treasury │ │
│ │ Protein Translocation │ ETC Localization │ │
│ ├────────────────────────────┼────────────────────────────────────────┤ │
│ │ P-5: Carrier Proteins │ │ │
│ │ Metabolite Transport │ │ │
│ │ ADP/ATP Exchange │ │ │
│ └─────────────────────────────────────────────────────────────────────┘ │
│ │ │
│ ▼ │
│ ┌─────────────────────────────────────────────────────────────────────┐ │
│ │ MATRIX TRIAD │ │
│ │ Metabolic Core & mtDNA │ │
│ ├─────────────────────────────────────────────────────────────────────┤ │
│ │ T-7: mtDNA │ PD-2: Mitochondrial Ribosomes │ │
│ │ Genetic Treasury │ Protein Synthesis │ │
│ │ 13 ETC Subunits │ Local Translation │ │
│ ├────────────────────────────┼────────────────────────────────────────┤ │
│ │ P-5: TCA Cycle Enzymes │ O-4: Matrix Organization │ │
│ │ Metabolic Processing │ Enzyme Complexes │ │
│ │ NADH/FADH2 Production │ Metabolon Assembly │ │
│ └─────────────────────────────────────────────────────────────────────┘ │
│ │
└─────────────────────────────────────────────────────────────────────────────┘
ETC Flow: Electron Transfer → Proton Pumping Organization
graph LR
P5[P-5: Complex I-IV<br/>Electron Transport] --> O4[O-4: Cristae<br/>Proton Gradient]
style P5 fill:#ff9999
style O4 fill:#ff6666
Matrix Flow: Protein Import → Genetic Treasury
graph LR
PD2[PD-2: TIM Complex<br/>Protein Import] --> T7[T-7: mtDNA<br/>Genetic Storage]
style PD2 fill:#66ffcc
style T7 fill:#66ff99
Energy Flow: ATP Synthase → Cellular Energy
graph LR
S8[S-8: ATP Synthase<br/>ATP Production] --> M1[M-1: Cytoplasm<br/>Energy Delivery]
style S8 fill:#6699ff
style M1 fill:#3366ff
The cell operates on a 60-step deterministic cycle (LCM of 3 and 20) representing the synchronization of nuclear and cytoplasmic processes:
class CellularSystem5:
"""
Implements the 60-step cellular cycle with triadic dynamics.
"""
def __init__(self):
# Universal Sets: Cell Cycle Phases
self.U1 = G1Phase() # Growth phase 1
self.U2 = SPhase() # DNA synthesis
self.U3 = G2M_Phase() # Growth 2 + Mitosis
# Particular Sets: Cellular Compartments
self.P1 = Nucleus() # Genetic control
self.P2 = EndomembraneSystem() # Protein processing
self.P3 = Mitochondria() # Energy production
self.P4 = Cytoskeleton() # Structure & transport
def cell_cycle_step(self, t: int):
"""Execute one step of the 60-step cell cycle."""
# Universal phase transition (3-step cycle)
u_idx = t % 3
phase = self.get_phase(u_idx)
# Particular compartment transition (5-step staggered)
p_idx = t % 5
if p_idx < 4:
compartment = [self.P1, self.P2, self.P3, self.P4][p_idx]
return compartment.process(phase)
# Rest step: checkpoint
return self.checkpoint_evaluation()The convolution of concurrency implements parallel organelle processing:
This captures cellular interdependencies where:
- Nucleus affects ER protein synthesis
- ER affects Golgi processing
- Mitochondria affect all energy-dependent processes
- Cytoskeleton affects all transport
Cellular Flow: Biosynthesis → Structural Organization
graph LR
P5[P-5: Golgi<br/>Protein Processing] --> O4[O-4: Vesicles<br/>Trafficking]
style P5 fill:#ff9999
style O4 fill:#ff6666
Characteristics:
- Protein modification to secretion
- Lipid synthesis to membrane assembly
- Commitment to cellular output
- Quality control integration
Cellular Flow: Biogenesis → Storage
graph LR
PD2[PD-2: Nucleolus<br/>Ribosome Biogenesis] --> T7[T-7: Chromatin<br/>Genetic Memory]
style PD2 fill:#66ffcc
style T7 fill:#66ff99
Characteristics:
- Ribosome assembly to protein potential
- Gene expression to epigenetic memory
- Potential information storage
- Developmental programming
Cellular Flow: Metabolic State → Environmental Interface
graph LR
S8[S-8: Cytoplasm<br/>Metabolic State] --> M1[M-1: Plasma Membrane<br/>Cell Boundary]
style S8 fill:#6699ff
style M1 fill:#3366ff
Characteristics:
- Metabolic sensing to signal transduction
- Ion homeostasis to membrane potential
- Performance optimization cycle
- Environmental responsiveness
The cell implements hierarchical self-monitoring through:
- Metabolic Sensors: AMPK, mTOR, sirtuins
- DNA Damage Response: ATM, ATR, p53
- Protein Quality Control: Unfolded protein response
- Redox Sensors: Nrf2, HIF-1α
- Transcriptome Analysis: Gene expression patterns
- Proteome State: Protein abundance and modifications
- Metabolome Profile: Metabolite concentrations
- Epigenome Status: Chromatin state
- Cell Fate Decisions: Proliferation vs. differentiation
- Stress Response Integration: Multiple pathway coordination
- Apoptosis Assessment: Death vs. survival decisions
- Senescence Evaluation: Aging markers
- Autophagy: Self-eating for renewal
- Mitophagy: Mitochondrial quality control
- Proteostasis: Protein homeostasis maintenance
- Metabolic Reprogramming: Energy optimization
class CellularAutognosis:
"""
Self-awareness system for eukaryotic cells.
"""
def __init__(self, cell: CellularSystem5):
self.cell = cell
self.sensor_network = SensorNetwork()
def monitor(self) -> Dict[str, float]:
"""Monitor cellular health metrics."""
return {
'atp_level': self.sensor_network.measure_atp(),
'ros_level': self.sensor_network.measure_ros(),
'dna_damage': self.sensor_network.measure_dna_damage(),
'protein_stress': self.sensor_network.measure_upr(),
'nutrient_status': self.sensor_network.measure_nutrients(),
'membrane_potential': self.sensor_network.measure_delta_psi(),
}
def assess_fate(self) -> str:
"""Determine cell fate based on current state."""
metrics = self.monitor()
if metrics['dna_damage'] > 0.8:
return 'APOPTOSIS'
elif metrics['atp_level'] < 0.2:
return 'NECROSIS'
elif metrics['nutrient_status'] < 0.3:
return 'AUTOPHAGY'
elif metrics['protein_stress'] > 0.7:
return 'SENESCENCE'
else:
return 'PROLIFERATION'Cells evolve through self-generating kernels that create new capabilities:
class CellularGenome:
"""
Evolutionary genome for cellular programs.
"""
def __init__(self):
self.genes = {
'metabolic_rate': FloatGene(0.5, 2.0),
'proliferation_rate': FloatGene(0.1, 1.0),
'stress_resistance': FloatGene(0.3, 0.9),
'differentiation_potential': FloatGene(0.0, 1.0),
'migration_capacity': FloatGene(0.0, 1.0),
'secretory_activity': FloatGene(0.2, 0.8),
}
self.fitness = 0.0
self.generation = 0
def express(self, environment: Environment) -> Phenotype:
"""Express genome in given environment."""
expression_levels = {}
for gene_name, gene in self.genes.items():
# Environment-dependent expression
expression_levels[gene_name] = gene.express(environment)
return Phenotype(expression_levels)def cellular_differentiation(stem_cell: CellularGenome,
signals: List[Signal],
generations: int) -> List[CellularGenome]:
"""
Evolve stem cell through differentiation signals.
"""
population = [stem_cell]
for gen in range(generations):
# Apply differentiation signals
for signal in signals:
for cell in population:
cell.apply_signal(signal)
# Evaluate fitness in tissue context
fitness_scores = [evaluate_tissue_fitness(cell) for cell in population]
# Selection based on tissue needs
selected = tissue_selection(population, fitness_scores)
# Asymmetric division (stem cell maintenance)
offspring = asymmetric_division(selected)
population = offspring
return populationcosys-cell/
├── README.md
├── ARCHITECTURE.md
├── MITOCHONDRIA.md
├── src/
│ ├── cerebral-triad/
│ │ ├── chromatin-service/ # T-7: DNA storage
│ │ ├── nucleolus-service/ # PD-2: Ribosome biogenesis
│ │ ├── transcription-service/ # P-5: mRNA production
│ │ └── nuclear-envelope/ # O-4: Nuclear organization
│ ├── somatic-triad/
│ │ ├── plasma-membrane/ # M-1: Cell boundary
│ │ ├── endoplasmic-reticulum/ # S-8: Protein synthesis
│ │ ├── golgi-apparatus/ # P-5: Protein processing
│ │ └── vesicle-transport/ # O-4: Secretory pathway
│ ├── autonomic-triad/
│ │ ├── mitochondria/ # M-1: Energy production
│ │ │ ├── outer-membrane/
│ │ │ ├── intermembrane-space/
│ │ │ ├── inner-membrane/
│ │ │ └── matrix/
│ │ ├── cytoplasm/ # S-8: Metabolic state
│ │ ├── peroxisomes/ # PD-2: Oxidative processing
│ │ ├── lysosomes/ # T-7: Degradation
│ │ └── cytoskeleton/ # P-5: Structure
│ ├── cellular-core/
│ │ ├── autognosis/ # Self-awareness
│ │ ├── ontogenesis/ # Differentiation
│ │ ├── cell-cycle/ # Division control
│ │ └── signaling/ # Signal transduction
│ └── integration-hub/
│ ├── metabolic-network/ # Metabolic integration
│ ├── event-bus/ # Signaling cascades
│ └── shared-libraries/ # Common utilities
├── models/
│ ├── system5-cell.py # 60-step state machine
│ ├── mitochondria.py # Double membrane model
│ └── polarity-cell.py # 18-service mapping
└── docs/
├── cell-biology.md
├── mitochondria-detail.md
└── implementation-guide.md
import numpy as np
from typing import Dict, List
class EukaryoticCell:
"""
Cosmos System 5 Eukaryotic Cell implementation.
"""
def __init__(self):
# Cerebral Triad: Nucleus
self.nucleus = Nucleus()
# Somatic Triad: Endomembrane System
self.plasma_membrane = PlasmaMembrane()
self.endoplasmic_reticulum = EndoplasmicReticulum()
self.golgi_apparatus = GolgiApparatus()
self.vesicles = VesicleSystem()
# Autonomic Triad: Energy & Homeostasis
self.mitochondria = Mitochondria()
self.cytoplasm = Cytoplasm()
self.peroxisomes = Peroxisomes()
self.lysosomes = Lysosomes()
self.cytoskeleton = Cytoskeleton()
# Cell state
self.cell_cycle_phase = 'G1'
self.metabolic_state = MetabolicState()
def process_signal(self, signal: Signal) -> Response:
"""
Process extracellular signal through cellular machinery.
"""
# M-1: Plasma membrane receives signal
receptor_activation = self.plasma_membrane.receive(signal)
# Signal transduction cascade
second_messengers = self.transduce_signal(receptor_activation)
# Nuclear response (Cerebral Triad)
if signal.requires_transcription:
gene_expression = self.nucleus.respond(second_messengers)
# S-8: ER protein synthesis
proteins = self.endoplasmic_reticulum.synthesize(gene_expression)
# P-5: Golgi processing
processed_proteins = self.golgi_apparatus.process(proteins)
# O-4: Vesicle transport
self.vesicles.deliver(processed_proteins)
return Response(processed_proteins)
def metabolize(self, nutrients: Nutrients) -> Energy:
"""
Process nutrients through metabolic pathways.
"""
# Cytoplasmic glycolysis
pyruvate = self.cytoplasm.glycolysis(nutrients.glucose)
# Mitochondrial oxidation
atp = self.mitochondria.oxidative_phosphorylation(pyruvate)
# Update metabolic state
self.metabolic_state.update(atp)
return Energy(atp)class Mitochondria:
"""
Double membrane mitochondria with nested triadic structure.
"""
def __init__(self):
# Outer Membrane Triad
self.outer_membrane = OuterMembrane()
# Intermembrane Space Triad
self.intermembrane_space = IntermembraneSpace()
# Inner Membrane Triad
self.inner_membrane = InnerMembrane()
# Matrix Triad
self.matrix = MitochondrialMatrix()
# State variables
self.delta_psi = 0.0 # Membrane potential
self.atp_level = 0.0
self.nad_ratio = 0.0 # NAD+/NADH ratio
def oxidative_phosphorylation(self, pyruvate: float) -> float:
"""
Execute oxidative phosphorylation through nested triads.
"""
# Matrix: TCA cycle
nadh, fadh2 = self.matrix.tca_cycle(pyruvate)
# Inner Membrane: Electron transport chain
protons_pumped = self.inner_membrane.electron_transport(nadh, fadh2)
# Intermembrane Space: Proton gradient
self.delta_psi = self.intermembrane_space.maintain_gradient(protons_pumped)
# Inner Membrane: ATP synthesis
atp = self.inner_membrane.atp_synthase(self.delta_psi)
# Outer Membrane: ATP export
exported_atp = self.outer_membrane.export_atp(atp)
self.atp_level = exported_atp
return exported_atp
def import_protein(self, preprotein: Preprotein) -> MitochondrialProtein:
"""
Import nuclear-encoded protein through TOM/TIM complexes.
"""
# Outer Membrane: TOM complex recognition
recognized = self.outer_membrane.tom_complex.recognize(preprotein)
# Outer Membrane: Translocation
translocated = self.outer_membrane.tom_complex.translocate(recognized)
# Intermembrane Space: Sorting
sorted_protein = self.intermembrane_space.sort(translocated)
if sorted_protein.destination == 'matrix':
# Inner Membrane: TIM23 complex
imported = self.inner_membrane.tim23_complex.import_protein(sorted_protein)
# Matrix: Folding and assembly
folded = self.matrix.fold_protein(imported)
return folded
elif sorted_protein.destination == 'inner_membrane':
# Inner Membrane: TIM22 complex for carriers
inserted = self.inner_membrane.tim22_complex.insert(sorted_protein)
return insertedfrom cosys_cell import EukaryoticCell, Signal, Nutrients
# Initialize cell
cell = EukaryoticCell()
# Process growth signal
growth_signal = Signal(type='growth_factor', intensity=0.8)
response = cell.process_signal(growth_signal)
# Metabolize nutrients
nutrients = Nutrients(glucose=5.0, fatty_acids=1.0, amino_acids=2.0)
energy = cell.metabolize(nutrients)
print(f"ATP produced: {energy.atp}")
print(f"Cell cycle phase: {cell.cell_cycle_phase}")from cosys_cell import Mitochondria
# Initialize mitochondria
mito = Mitochondria()
# Run oxidative phosphorylation
pyruvate = 2.0 # mM
atp = mito.oxidative_phosphorylation(pyruvate)
# Check membrane potential
print(f"Membrane potential (ΔΨ): {mito.delta_psi} mV")
print(f"ATP level: {mito.atp_level} mM")
print(f"NAD+/NADH ratio: {mito.nad_ratio}")from cosys_cell.cellular_core import CellularAutognosis
# Initialize autognosis
autognosis = CellularAutognosis(cell)
# Monitor health
metrics = autognosis.monitor()
print(f"ATP level: {metrics['atp_level']}")
print(f"ROS level: {metrics['ros_level']}")
print(f"DNA damage: {metrics['dna_damage']}")
# Assess cell fate
fate = autognosis.assess_fate()
print(f"Predicted cell fate: {fate}")- Alberts, B., et al. (2015). Molecular Biology of the Cell
- Schwarz, E. (1997). Toward a Holistic Cybernetics
- Nicholls, D.G., & Ferguson, S.J. (2013). Bioenergetics
- Henze, K., & Martin, W. (2003). Evolutionary biology: essence of mitochondria
- Kroemer, G., et al. (2007). Mitochondrial membrane permeabilization in cell death
MIT License - See LICENSE for details.
cosys-cell: Where the Cosmos System meets cell biology, creating a unified framework for understanding eukaryotic cells as self-organizing cognitive systems through triadic organizational dynamics.