Author

Esra Nalbat

Middle East Technical UniversityORCID 0000-0002-4051-9793Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 2 Research Focus:database / resource· 1 Research Focus:drug response / drug discovery· 1 Assay:protein structure· 1

Frequent Co-Authors

Ahmet Süreyya RifaioğluiD· 2 shared Maria Jesus MartiniD· 2 shared Rengül Çetin-AtalayiD· 2 shared Tunca DoğaniD· 2 shared Volkan AtalayiD· 2 shared Ahmet K. AtakaniD· 1 shared Andrew NightingaleiD· 1 shared Hermann Zellner· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Ahmet Süreyya RifaioğluORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BioinformaticsNucleic Acids ResearchPeer-reviewedJun 11, 2021

CROssBAR: Comprehensive Resource of Biomedical Relations with Deep Learning Applications and Knowledge Graph Representations

Tunca Doğan, Heval Ataş, Vishal Joshi…·Volkan Atalay

The paper introduces CROssBAR, a resource that integrates biomedical data and uses deep learning to predict entity relations, displaying results in knowledge graphs for systems-level analysis of diseases like COVID-19.

44 citations

deep learningdatabase / resource

𝕏 PostBluesky

BioinformaticsChemical SciencePeer-reviewedJan 1, 2020

DEEPScreen: High Performance Drug-Target Interaction Prediction with Convolutional Neural Networks Using 2-D Structural Compound Representations

Ahmet Süreyya Rifaioğlu, Esra Nalbat, Volkan Atalay…·Tunca Doğan

DEEPScreen predicts drug-target interactions using convolutional neural networks with 2-D compound representations, achieving better or comparable performance to existing methods.

242 citationstop 1%

protein structuredeep learning

𝕏 PostBluesky