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Nature

a CAS Framework for Predicting the Synthetic Evolution of Anti-Plastic Enzymes

3 Juni 2025   17:54 Diperbarui: 4 Juni 2025   09:05 932
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((CAS Variables in Graph-theoretic Interpretation (Sumber: Pribadi))

Synthetic enzymes, once released---intentionally or unintentionally---may participate in:

Gene flow across microbial species

Unanticipated substrate promiscuity, degrading natural polymers

Selective pressures that restructure microbial communities

CAS-based models are powerful, but their predictions are probabilistic, not absolute. Hence, the precautionary principle must be operationalized as part of any deployment protocol. This includes:

In silico stress-testing of enzyme function across ecological scenarios

Simulated long-term co-evolutionary modeling with native enzymes

Synthetic fail-safes like kill-switches or dependency circuits embedded within microbial hosts

Crucially, systemic modeling must not only predict functionality but also ecological resilience and boundary conditions, under which synthetic elements cease to be benign.

3. Governance and Public Accountability

Deploying computationally evolved biomolecules into ecosystems cannot be guided solely by scientific expertise. There is a pressing need for:

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