Sayyed Jalil Mahdizadeh

This paper introduces MolAI, a deep learning model for generating molecular descriptors, which improves drug discovery tasks like ADMET prediction and virtual screening.

This study identifies FMO4 as a driver of lung adenocarcinoma by stabilizing the MAT2A/MAT2B complex and inhibiting ferroptosis.

The paper identifies novel IRE1 interactors that regulate its RNase activity and stability, revealing new functions in the unfolded protein response.

iScore is a machine learning-based scoring function for predicting protein-ligand binding affinity, outperforming existing methods in accuracy and efficiency for drug discovery.

The paper develops a yeast-based platform to identify Plasmodium vivax DHS inhibitors, finding two compounds that selectively inhibit parasite DHS over human DHS.