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Project C2: ML and AI Tools and Methods

Project C2 develops machine learning and artificial intelligence tools to: (1) bridge scales from single cell to multicellular responses; (2) bridge experimental data and simulations across biological contexts.

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Research Outputs

Optimal performance objectives in the highly conserved bone morphogenetic protein signaling pathway

BMP-Smad pathway balances competing functional goals; operates near Pareto optimal balance.

Optimal performance objectives in the highly conserved bone morphogenetic protein signaling pathway

Figure 2. The Performance Metrics (PMs) of the Smad signaling pathway depend on the PPase concentration.

Optimal performance objectives in the highly conserved bone morphogenetic protein signaling pathway

Shaikh, R., et al. 2024. Optimal performance objectives in the highly conserved bone morphogenetic protein signaling pathway. npj Systems Biology and Applications, 10(1), 103.