AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Results show that regulatory performance is determined by how efficiently ligand binding redistributes conformational states and suggest that natural co-repressible scaffolds may provide superior foundations for engineering ligand-activated transcriptional control.
This work examines how promoter organization shapes TetR-based gene regulation in mammalian cells using a panel of single-vector constructs spanning a broad range of promoter strengths to identify regulatory architecture as a primary determinant of circuit performance and establish design principles for constructing mo...
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