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How AI Models Predict Protein Functions A new approach can reveal the features AI models use to predict proteins that might make good drug or vaccine targets.

But empirical studies in program comprehension are quite clear that the information needed to describe code much more often resides in the context in the form of Function Call Graph surrounding that ...

Topology-Based Clustering Techniques for Graph Partitioning Applied to the Italian Transmission Network Abstract: As renewable energy sources are integrated into power systems, the complexity of their ...

Struct2GO is a protein function prediction model based on self-attention graph pooling, which utilizes structural information from AlphaFold2 to augment the accuracy and generality of the model's ...

The intricate pathophysiology of Alzheimer’s disease (AD), characterized by β-amyloid (Aβ) deposition, oxidative stress, and neuroinflammation, presents significant challenges for conventional ...