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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Essmily Simon

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Jul 2026

Deep cross-modal representation fusion learning for enhanced drug target affinity prediction.

The proposed PCBERT-GAT-DFFNN-DTA model, a three-stage deep cross-modal representation fusion framework for accurate DTA prediction, achieves significant improvements in R2 scores across all datasets, demonstrating its effectiveness in learning complex drug protein interactions for reliable DTA prediction.

Essmily Simon, Sanjay S. Bankapur · 0 citations
Open access Jul 2026

Contextual Representation Learning With ResNet Refinement and Deep Classification for Enhanced Drug Target Interaction Prediction

A novel deep learning framework is proposed that leverages pre‐trained BERT‐based language models to extract contextual embeddings from protein and drug sequences and refined using a proposed dedicated ResNet‐based subnetwork to preserve intrinsic biochemical characteristics.

Essmily Simon, Sanjay S. Bankapur · 0 citations

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