174 citations · 367 across the 11 of their papers we have counts for
4 papers · 1 filter
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…
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…
Enhancements to the BOUN Treebank Reflecting the Agglutinative Nature of Turkish
Büşra Marşan, Salih Furkan Akkurt, Muhammet Şen +7
In this study, we aim to offer linguistically motivated solutions to resolve the issues of the lack of representation of null morphemes, highly productive derivational processes, a…
A Dataset and BERT-based Models for Targeted Sentiment Analysis on Turkish Texts
M. Melih Mutlu, Arzucan Özgür
Targeted Sentiment Analysis aims to extract sentiment towards a particular target from a given text. It is a field that is attracting attention due to the increasing accessibility…