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Structural semantic evolutionary distance (SSED) unifies the selection of cancer driver genes across macroevolution and tumorigenesis

2025-12-19

Abstract excerpt

The non-random, site-specific enrichment of somatic mutations in cancer driver genes (CDGs) suggests their emergence is governed by underlying evolutionary constraints. However, quantitative methods to define these constraints and their underlying principles remain underexplored. To address this, we introduce the Structural Semantic Evolutionary Distance (SSED), a metric leveraging the pretrained ESM-3 protein lan...

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Literature Corpus work
b9f663c9-2014-54f3-a3d1-748e1d0c5679
DOI
10.64898/2025.12.17.694808
Open publication

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Structural semantic evolutionary distance (SSED) unifies the selection of cancer driver genes across macroevolution and tumorigenesisDOI 10.64898/2025.12.17.694808
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