Ahmet Sureyya Rifaioglu
Ahmet Sureyya Rifaioglu
Computer Engineering, Middle East Technical University
Verified email at ceng.metu.edu.tr
Title
Cited by
Cited by
Year
Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases
AS Rifaioglu, H Atas, MJ Martin, R Cetin-Atalay, V Atalay, T Doğan
Briefings in bioinformatics 20 (5), 1878-1912, 2019
802019
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
N Zhou, Y Jiang, TR Bergquist, AJ Lee, BZ Kacsoh, AW Crocker, ...
Genome biology 20 (1), 1-23, 2019
602019
DEEPred: automated protein function prediction with multi-task feed-forward deep neural networks
AS Rifaioglu, T Doğan, MJ Martin, R Cetin-Atalay, V Atalay
Scientific reports 9 (1), 1-16, 2019
24*2019
ECPred: a tool for the prediction of the enzymatic functions of protein sequences based on the EC nomenclature
A Dalkiran, AS Rifaioglu, MJ Martin, R Cetin-Atalay, V Atalay, T Doğan
BMC bioinformatics 19 (1), 1-13, 2018
232018
DEEPScreen: high performance drug–target interaction prediction with convolutional neural networks using 2-D structural compound representations
AS Rifaioglu, E Nalbat, V Atalay, MJ Martin, R Cetin-Atalay, T Doğan
Chemical Science 11 (9), 2531-2557, 2020
192020
Large‐scale automated function prediction of protein sequences and an experimental case study validation on PTEN transcript variants
AS Rifaioglu, T Doğan, ÖS Saraç, T Ersahin, R Saidi, MV Atalay, ...
Proteins: Structure, Function, and Bioinformatics 86 (2), 135-151, 2018
52018
Heval Atas, Maria Jesus Martin, Rengul Cetin-Atalay, Volkan Atalay, and Tunca Doğan. Recent applications of deep learning and machine intelligence on in silico drug discovery …
AS Rifaioglu
Briefings in bioinformatics, 2018
52018
MDeePred: Novel Multi-Channel protein featurization for deep learning based binding affinity prediction in drug discovery
AS Rifaioglu, R Cetin Atalay, D Cansen Kahraman, T Doğan, M Martin, ...
Bioinformatics, 2020
12020
iBioProVis: Interactive Visualization and Analysis of Compound Bioactivity Space
A Donmez, AS Rifaioglu, A Acar, T Dogana, R Cetin-Atalay, V Atalay
Bioinformatics, 2020
12020
An Extension to GOPred to annotate swiss-prot and trembl sequences for all gene ontology categories and EC numbers
AS Rifaioğlu
12015
In vitro validation of drug-target interactions revealed in silico by Comprehensive Resource of Biomedical Relations with Network Representations and Deep Learning (CROssBAR …
E Nalbat, AS Rifaioglu, T Dogan, MJ Martin, R Cetin-Atalay, V Atalay
Cancer Research 80 (16 Supplement), 5235-5235, 2020
2020
CROssBAR: Comprehensive Resource of Biomedical Relations with Deep Learning Applications and Knowledge Graph Representations
T Dogan, H Atas, V Joshi, A Atakan, AS Rifaioglu, E Nalbat, A Nightingale, ...
bioRxiv, 2020
2020
Unsupervised identification of redundant domain entries in InterPro database using clustering techniques
AS Rifaioğlu, T Doğan, T Can
Proceedings of the 6th ACM Conference on Bioinformatics, Computational …, 2015
2015
CROssBAR: Comprehensive Resource of Biomedical Relations with Network Representations and Deep Learning”, Oral presentation
M Atalay, T Doğan, R Atalay, E Nalbat, A Rifaioğlu, H Ataş, M Martin
iBioProVis: Interactive Visualization and Analysis of Compound Bioactivity Space
M Atalay, A Rifaioğlu, A Acar, R Atalay, T Doğan, M Martin, A Dönmez
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