From lipid dynamics to precision predictions: A new approach methodology for precision modeling of phosphoinositide signaling
Gonzalo Hernandez-Hernandez, Mindy Tieu, Pei-Chi Yang, Oscar Vivas, Timothy J Lewis, L Fernando Santana, Colleen E Clancy · 2026
Read From lipid dynamics to precision predictions: A new approach methodology for precision modeling of phosphoinositide signaling by Gonzalo Hernandez-Hernandez, Mindy Tieu, Pei-Chi Yang, Oscar Vivas, Timothy J Lewis, L Fernando Santana, Colleen E Clancy (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13574257.txt.
Description
Gonzalo Hernandez-Hernandez, with six colleagues, presents a 2026 modelling method that tailors cell signal predictions to each cell type. The signals run on membrane lipids called phosphoinositides, and the same gene fault or drug can hit one cell type hard and spare another. Precision care needs models that capture that split.
The core model tracks four lipid forms and the signals they spawn, tuned on data from rat nerve cells. A reserve pool of one lipid, PI(4)P, set how sturdy the whole signal chain proved. Twin inverse methods, one based on sensitivity fingerprints and one a neural net trained on fake data, rebuilt the model for three other cell types. Large-pool neurons kept signalling when a key enzyme was blocked, while small-pool cells failed. Mutation runs showed the same split under repeat stress.
Catalog record
| CREATOR | Gonzalo Hernandez-Hernandez, Mindy Tieu, Pei-Chi Yang, Oscar Vivas, Timothy J Lewis, L Fernando Santana, Colleen E Clancy |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 57326 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |