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Improving PTM Site Prediction by Coupling of Multi-Granularity Structure and Multi-Scale Sequence Representation
Specifically, multigranularity structure-aware representation learning is designed to learn neighborhood structure representations at the amino acid, atom, and whole protein granularity from AlphaFold predicted structures, followed by utilizing contrastive learning to optimize the structure representations. Additionally, multi-scale sequence representation learning is used to extract context sequence information, and motif generated by aligning all context sequences of PTM sites assists the prediction.
Exploring the Use of Data-Driven Approaches for Anomaly Detection in the Internet of Things (IoT) Environment
The Internet of Things (IoT) is a system that connects physical computing devices, sensors, software, and other technologies.
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