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GATESynergy: Integrating Molecular Global-Local Aggregator and Hierarchical Gene-Gated Encoder for Drug Synergy Prediction.
GATESynergy is a novel deep learning framework for predicting drug synergy that combines a hierarchical gated gene-aware encoder (HiGate) with a molecular global-local aggregator (MoGLA) that uses global query summarization to efficiently fuse drug-drug-cell line representations and capture diverse synergistic interact...
ProtSyntax: a protein large language model for decoding post-translational modification syntax and function
ProtSyntax is introduced, a PTM-aware foundation protein language model combining protein-aware positional encoding, bidirectional state-space propagation, geometry-constrained attention and adaptive multi-objective learning that has the potential to decode the regulatory language of the modified proteome.