3 citations · 4 across the 2 of their papers we have counts for
2 papers
q-bio.BM2022★ 3 cited
Exploring Data-Driven Chemical SMILES Tokenization Approaches to Identify Key Protein-Ligand Binding Moieties
Asu Büşra Temizer, Gökçe Uludoğan, Rıza Özçelik +5
Machine learning models have found numerous successful applications in computational drug discovery. A large body of these models represents molecules as sequences since molecular…
cs.LG2022★ 1 cited
Exploiting Pretrained Biochemical Language Models for Targeted Drug Design
Gökçe Uludoğan, Elif Ozkirimli, Kutlu O. Ulgen +2
Motivation: The development of novel compounds targeting proteins of interest is one of the most important tasks in the pharmaceutical industry. Deep generative models have been ap…