Article
Characterization of the heterogeneity in SARS-CoV-2 fitness dynamics via graph representation learning.
PLoS computational biology - 1 Jan 2026
Wang Zengmiao, Zhou Ziqin, Wang Junfu, Yang Lingyue, Zhang Zhirui, Xu Weina, Liu Zeming, Ge Yuxi, Yang Liang, Wang Xiaoli, Yang Peng, Wang Quanyi, Cao Yunlong, Guo Yuanfang, Tian Huaiyu
Abstract excerpt
Understanding the heterogeneity of population-level viral fitness dynamics, which reflect the interplay between intrinsic viral properties and population immunity, is critical for pandemic preparedness. However, how these dynamics vary across diverse immune backgrounds and mutational landscapes remain poorly characterized. We present Geno-GNN, a graph representation learning approach for retrospectively...
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