most citedTarget Specific De Novo Design of Drug Candidate Molecules with Graph Transformer-based Generative Adversarial Networks

5 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2023★ 5 cited

Target Specific De Novo Design of Drug Candidate Molecules with Graph Transformer-based Generative Adversarial Networks

Atabey Ünlü, Elif Çevrim, Melih Gökay Yiğit +8

Discovering novel drug candidate molecules is one of the most fundamental and critical steps in drug development. Generative deep learning models, which create synthetic data given…

q-bio.QM2017★ 1 cited

Multi-task Deep Neural Networks in Automated Protein Function Prediction

Ahmet Sureyya Rifaioglu, Tunca Doğan, Maria Jesus Martin +2

In recent years, deep learning algorithms have outperformed the state-of-the art methods in several areas thanks to the efficient methods for training and for preventing overfittin…