13 citations · 15 across the 2 of their papers we have counts for
3 papers
cs.LG2025★ 2 cited
An Auditable Agent Platform For Automated Molecular Optimisation
Atabey Ünlü, Phil Rohr, Ahmet Celebi
Drug discovery frequently loses momentum when data, expertise, and tools are scattered, slowing design cycles. To shorten this loop we built a hierarchical, tool using agent framew…
q-bio.QM2023★ 13 cited
SELFormer: Molecular Representation Learning via SELFIES Language Models
Atakan Yüksel, Erva Ulusoy, Atabey Ünlü +1
Automated computational analysis of the vast chemical space is critical for numerous fields of research such as drug discovery and material science. Representation learning techniq…
cs.LG2023
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…