Tunca Doğan

Multimodal biomedical AI

Revolutionizing healthcare: the role of artificial intelligence in clinical practice

Applications of machine learning in drug discovery and development

Interpreting neural networks for biological sequences by learning stochastic masks

Critiquing Protein Family Classification Models Using Sufficient Input Subsets

Learning Drug Functions from Chemical Structures with Convolutional Neural Networks and Random Forests

Drug repurposing for viral cancers: A paradigm of machine learning, deep learning, and virtual screening‐based approaches

Artificial Intelligence in Drug Metabolism and Excretion Prediction: Recent Advances, Challenges, and Future Perspectives

ChatGPT Chemistry Assistant for Text Mining and the Prediction of MOF Synthesis

ECPred: a tool for the prediction of the enzymatic functions of protein sequences based on the EC nomenclature

Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases

DEEPScreen: high performance drug–target interaction prediction with convolutional neural networks using 2-D structural compound representations