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Muhammad Junaid

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Open access Jul 2026

Development and validation of an attention-based cGAS-specific deep learning scoring function for structure-based virtual screening

DeepCGASPred is a cyclic GMP-AMP synthase (cGAS)-specific deep learning scoring function that integrates three-dimensional convolutional neural networks with multi-head attention mechanisms and composite structural descriptors, including Structural Protein–Ligand Interaction Fingerprints (SPLIF), hydrogen bond features, and extended connectivity fingerprints (ECFP).

Muhammad Junaid, Muhammad Zeeshan, Abbas Khan et al. · 0 citations