1.8k citations · 2.2k across the 17 of their papers we have counts for
4 papers · 1 filter
ChemBoost: A chemical language based approach for protein-ligand binding affinity prediction
Rıza Özçelik, Hakime Öztürk, Arzucan Özgür +1
Identification of high affinity drug-target interactions is a major research question in drug discovery. Proteins are generally represented by their structures or sequences. Howeve…
Named Entity Recognition on Twitter for Turkish using Semi-supervised Learning with Word Embeddings
Eda Okur, Hakan Demir, Arzucan Özgür
Recently, due to the increasing popularity of social media, the necessity for extracting information from informal text types, such as microblog texts, has gained significant atten…
A novel methodology on distributed representations of proteins using their interacting ligands
Hakime Öztürk, Elif Ozkirimli, Arzucan Özgür
The effective representation of proteins is a crucial task that directly affects the performance of many bioinformatics problems. Related proteins usually bind to similar ligands.…
DeepDTA: Deep Drug-Target Binding Affinity Prediction
Hakime Öztürk, Elif Ozkirimli, Arzucan Özgür
The identification of novel drug-target (DT) interactions is a substantial part of the drug discovery process. Most of the computational methods that have been proposed to predict…