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

5 citations · 5 across the 1 of their papers we have counts for

collaborators

1 paper

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…