arXiv (All)
open access
GlycoMAC: A Multiscale Metabolic-Glycosylation Framework for Predicting Glycosylation Across Conditions in Mammalian Cell Cultures
Antibody productivity and glycosylation quality in CHO cell cultures emerge from a dynamically evolving metabolic environment, yet existing models often work in isolation or at a single scale. Here, we present a multiscale mechanistic framework linking molecular, cellular, and process scales to pred
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- How glycosylation turns proteins into molecular precision tools: A Molecular Dynamics study#269017
- FROM EVOLUTION TO ENGINEERING: HOW CONFORMATIONAL DYNAMICS IMPACT PROTEIN FUNCTION#637487
- Primary Isotherms and Oscillation Data Supporting “Beyond Proteins: The Glycocalyx Confers Shear Resistance in Compressible Erythrocyte Monolayers under Nonlinear Viscoelastic Conditions”#652494
- MealRes-Gate: Forecasting Glucose Dynamics from CGM and Sparse Meal Logs Using Residual-Gated Multimodal Transformer#332449
- From lipid dynamics to precision predictions: A new approach methodology for precision modeling of phosphoinositide signaling.#923420
Record · ID 821937
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive