E
Esra Nalbat
Researcher at Middle East Technical University
Publications - 6
Citations - 174
Esra Nalbat is an academic researcher from Middle East Technical University. The author has contributed to research in topics: NoSQL & Cytotoxicity. The author has an hindex of 2, co-authored 5 publications receiving 62 citations. Previous affiliations of Esra Nalbat include Sabancı University.
Papers
More filters
Journal ArticleDOI
DEEPScreen: high performance drug-target interaction prediction with convolutional neural networks using 2-D structural compound representations.
Ahmet Sureyya Rifaioglu,Esra Nalbat,Volkan Atalay,Maria Jesus Martin,Rengul Cetin-Atalay,Rengul Cetin-Atalay,Tunca Doğan +6 more
TL;DR: The DEEPScreen system is composed of 704 target protein specific prediction models, each independently trained using experimental bioactivity measurements against many drug candidate small molecules, and optimized according to the binding properties of the target proteins.
Journal ArticleDOI
Treatment of breast cancer with autophagy inhibitory microRNAs carried by AGO2-conjugated nanoparticles
Ozlem Unal,Yunus Akkoc,Muhammed Kocak,Esra Nalbat,Asiye Isin Dogan-Ekici,Havva Yagci Acar,Devrim Gozuacik,Devrim Gozuacik +7 more
TL;DR: It is proposed that AGO2 protein conjugated SPIONs are a new class of theranostic nanoparticles and can be efficiently used as innovative, non-cationic,non-toxic gene therapy tools for targeted therapy of cancer.
Journal ArticleDOI
CROssBAR: comprehensive resource of biomedical relations with knowledge graph representations
Tunca Doğan,Heval Atas,Vishal Joshi,Ahmet Atakan,Ahmet Sureyya Rifaioglu,Esra Nalbat,Andrew Nightingale,Rabie Saidi,Vladimir Volynkin,Hermann Zellner,Rengul Cetin-Atalay,Rengul Cetin-Atalay,Maria Jesus Martin,Volkan Atalay +13 more
TL;DR: CROssBAR as mentioned in this paper is a comprehensive system that integrates large-scale biological/biomedical data from various resources and stores them in a NoSQL database, enriched with the deep-learning-based prediction of relationships between numerous data entries, which is followed by the rigorous analysis of the enriched data to obtain biologically meaningful modules.
Journal ArticleDOI
Synthesis and biological evaluation of novel isoxazole-piperazine hybrids as potential anti-cancer agents with inhibitory effect on liver cancer stem cells.
Kübra İbiş,Esra Nalbat,Burcu Çalışkan,Deniz Cansen Kahraman,Rengul Cetin-Atalay,Erden Banoglu +5 more
TL;DR: In this paper, a series of isoxazole-piperazine analogues were prepared, and primarily screened for their antiproliferative potential against hepatocellular carcinoma (HCC; Huh7/Mahlavu) and breast (MCF-7) cancer cells.
Posted ContentDOI
CROssBAR: Comprehensive Resource of Biomedical Relations with Deep Learning Applications and Knowledge Graph Representations
Tunca Doğan,Heval Atas,Vishal Joshi,Ahmet Atakan,Ahmet Sureyya Rifaioglu,Esra Nalbat,Andrew Nightingale,Rabie Saidi,Vladimir Volynkin,Hermann Zellner,Rengul Cetin-Atalay,Maria Jesus Martin,Volkan Atalay +12 more
TL;DR: A comprehensive system that integrates large-scale biomedical data from various resources and store them in a new NoSQL database, enrich these data with deep-learning-based prediction of relations between numerous biomedical entities, rigorously analyse the enriched data to obtain biologically meaningful modules and display them to users via easy-to-interpret, interactive and heterogenous knowledge graph (KG) representations.