13 citations · 18 across the 2 of their papers we have counts for
3 papers
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…
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…
An expanded evaluation of protein function prediction methods shows an improvement in accuracy
Yuxiang Jiang, Tal Ronnen Oron, Wyatt T Clark +144
Background: The increasing volume and variety of genotypic and phenotypic data is a major defining characteristic of modern biomedical sciences. At the same time, the limitations i…