Mohammad Madani

CGAN-Cmap: protein contact map prediction using deep generative adversarial neural networks

CGAN-Cmap improves protein contact map prediction using a hybrid deep learning model, achieving higher accuracy for medium and long-range contacts and reducing reliance on homologous sequences.

DSResSol: A sequence-based solubility predictor created with Dilated Squeeze Excitation Residual Networks

DSResSol is a deep learning model that predicts protein solubility from sequence, outperforming existing methods by 5-13% in accuracy and identifying key amino acids contributing to solubility.