Large chemoproteomic screens using covalent fragments map compound–cysteine engagements across the proteome, however, identifying robust, recognition-driven interactions remains a challenge due to experimental variability and electrophile reactivity. Here, we present CysLENS (Cysteine Ligandability Evaluation through N...
Sameek Singh, Maja E. Wierzbińska, Konika Konika et al.· bioRxiv· 0 citations
CAST is proposed, a Context- and Anomaly Structure-conditioned Time series anomaly generation framework with principled two-stage pretraining and finetuning strategy that consistently outperforms state-of-the-art anomaly generation methods in terms of both generation fidelity and downstream task utility.
H. Zhang, Jie Peng, Song-Yuan Sui et al.· 0 citations
The proposed M2G-LLM (Multimodal MedGraph-LLM), a novel framework that enhances LLMs with multimodal integration and alignment via Graph Neural Networks (GNNs), highlights the promise of combining the language understanding of LLMs with the relational reasoning capabilities of GNNs for comprehensive, multimodal healthc...
Inyoung Choi, Sukwon Yun, Jia-Yi Xin et al.· 0 citations
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