Keywords
Abstract
This review examines structural graph alignment for kinase and urban-safety models through an evidence-centered design lens. The analysis asks which structural differences should block transfer. It treats the relevant unit as a complete pathway from data or physical observations to representation, model output, human interpretation, and accountable action. The cited literature is synthesized without inventing experiments or unreported performance values. Particular attention is given to alignment erasing functionally important variation. The review argues that credible translation requires explicit evidence boundaries, uncertainty-aware evaluation, author-visible traceability, and a documented route for intervention. The resulting framework supports drug discovery and autonomous systems while distinguishing component promise from system readiness.
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