Protein-ligand komplekslerinin konvolüsyenel sinir ağları ile moleküler tanınması

As a sub-discipline of Artificial Intelligence, deep neural networks have received enormous interest in research and industrial applications over the last decades owing to their highly successful performance in addressing and solving broad areas of problems. Hence, especially hitherto achievements in computer-aided drug design brought an extra impetus with the novel deep learning approaches in structure-based drug design etiology. Our group offers a novel convolutional neural network model, deepMLR, that casts insight into the molecular recognition of ligand molecules and a receptor protein molecule. Having compared our model and a few other existing models with a case study of a traditional approach, herein, we present the success story of a deep learning model straight.