# Multi-omics-constrained kinetic models quantify pathway rewiring and predict metabolic vulnerabilities in BRCA1-deficient ovarian cancer

Source: [cell.com](https://www.cell.com/cell-systems/fulltext/S2405-4712(26)00263-2?rss=yes) · 2026-11-13 · Life
Page: https://themorning.science/story/multi-omics-constrained-kinetic-models-quantify-pathway-rewiring-and-predict-met-b7a8b95f615864f1
Kind: research · Impact: medium

## In brief

- Toumpe et al. built multi-omics-constrained, near-genome-scale kinetic ensembles for BRCA1-associated ovarian cancer metabolism.
- The models prioritize 28 enzyme-mediated vulnerabilities.
- The models predict target- and physiology-specific metabolic responses and identify a shared pathway-level pattern.

## Why it matters

The study offers a computational framework for linking multi-omics data to kinetic models of cancer metabolism, which could help researchers choose enzyme targets for BRCA1-deficient ovarian cancer to test experimentally.

## Timeline

- 2026-11-13: Study published in Cell Systems

## Coverage

- [Multi-omics-constrained kinetic models quantify pathway rewiring and predict metabolic vulnerabilities in BRCA1-deficient ovarian cancer](https://www.cell.com/cell-systems/fulltext/S2405-4712(26)00263-2?rss=yes) — cell.com, 2026-11-13

Tags: cancer metabolism, brca1, ovarian cancer, kinetic modelling, multi-omics, metabolic vulnerabilities

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