Systems-Level Modeling of mTOR Signaling Pathways
Established a structured, systems-level understanding of mTOR signaling dynamics, enabling controlled modulation of cellular growth and metabolic pathways for targeted biological outcomes.
Situation
An organization required a deeper understanding of the mechanistic Target of Rapamycin (mTOR) signaling network, specifically the dual roles of mTORC1 and mTORC2. Existing knowledge was fragmented across biochemical, physiological, and clinical domains, limiting the ability to make actionable decisions around pathway activation and suppression.
Solution
Developed a comprehensive research framework synthesizing literature across molecular biology, endocrinology, and metabolic regulation. The output was a structured research report translating complex biochemical interactions into a decision-oriented framework.
OUTCOMES
Challenges
Fragmentation
- •Cross-domain research silos
- •Disconnected pathway interpretations
- •Limited mechanistic clarity
Visibility
- •Unclear upstream regulators
- •Incomplete downstream mapping
Solutions
mTOR Complex Decomposition
Functional decomposition of mTORC1 vs mTORC2 signaling pathways.
- Distinguished functional roles between mTORC1 and mTORC2 signaling
- Clarified activation triggers across physiological conditions
- Structured pathway behavior into interpretable modules
Upstream Input Mapping
Mapping upstream regulators influencing pathway activation.
- Identified amino acid signaling thresholds influencing activation
- Modeled hormonal regulation through insulin and IGF-1 pathways
- Integrated AMPK-driven energy sensing interactions
- Incorporated load-induced mechanical activation mechanisms
Downstream Output Modeling
Modeled downstream biological effects of pathway activation.
- Quantified protein synthesis regulation effects
- Mapped lipid and nucleotide biosynthesis pathways