Figure 1. (IMAGE)
Caption
Figure 1. Overview of the DeepTYLCV framework. The framework involves six key stages: (A) Collection and pre-processing of global TYLCV genomes into open reading frames. (B) Projection and stacking of PLM/NLP embeddings to capture sequence context. (C) A hybrid Transformer encoder and Multi-scale CNN module for learning global and local virulence patterns. (D) Selection of optimal conventional descriptor features. (E) A multi-layer perceptron (MLP) classifier for severity prediction. (F) Deployment of a user-friendly web server.
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Bupi N, Sangaraju H, Tran D ... DeepTYLCV: An interpretable and experimentally validated AI model for predicting virulence of different tomato yellow leaf curl virus strains Plant Communications, 2026; 7
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