Ahmet Sureyya Rifaioglu

发表

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

Volkan Atalay, Rabie Saidi, Heval Atas, 2020, bioRxiv.

Abstract 5235:In vitrovalidation of drug-target interactions revealedin silicoby Comprehensive Resource of Biomedical Relations with Network Representations and Deep Learning (CROssBAR) in HCC

Volkan Atalay, Ahmet Sureyya Rifaioglu, Maria Jesus Martin, 2020 .

Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases

Volkan Atalay, Heval Atas, Rengul Cetin-Atalay, 2018, Briefings Bioinform..

Towards networking biomedical data using the CROssBAR API

Maria Jesus Martin, Volkan Atalay, Rabie Saidi, 2020 .

The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens

Tapio Salakoski, Feng Zhang, Paolo Fontana, 2019, Genome Biology.

DEEPScreen: high performance drug–target interaction prediction with convolutional neural networks using 2-D structural compound representations

Volkan Atalay, Tunca Doğan, María Martín, 2018, bioRxiv.

DEEPScreen: high performance drug–target interaction prediction with convolutional neural networks using 2-D structural compound representations† †Electronic supplementary information (ESI) available. See DOI: 10.1039/c9sc03414e

Volkan Atalay, Rengul Cetin-Atalay, Ahmet Sureyya Rifaioglu, 2020, Chemical science.

Large‐scale automated function prediction of protein sequences and an experimental case study validation on PTEN transcript variants

Rabie Saidi, Tunca Doğan, Tulin Ersahin, 2018, Proteins.

Multi-task Deep Neural Networks in Automated Protein Function Prediction

Rengul Cetin-Atalay, Ahmet Sureyya Rifaioglu, Maria Jesus Martin, 2017, 1705.04802.