Sajid Ahmed

PMPNN-DDG is a Random Forest model predicting single-point mutation-induced protein stability changes using features from ProteinMPNN, achieving high accuracy on independent test sets.

ACP-MHCNN is a deep convolutional neural network for anticancer peptide identification that outperforms existing methods in multiple metrics.

The paper introduces iPromoter-BnCNN, a branched CNN model for identifying and classifying six types of sigma promoters, showing superior performance on benchmark and independent test datasets.