Ahmet Sureyya Rifaioglu
Ahmet Sureyya Rifaioglu
Computer Engineering, Middle East Technical University
Verified email at ceng.metu.edu.tr
Cited by
Cited by
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
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
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
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
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
Crowdsourced mapping of unexplored target space of kinase inhibitors
A Cichońska, B Ravikumar, RJ Allaway, F Wan, S Park, O Isayev, S Li, ...
Nature communications 12 (1), 1-18, 2021
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 37 (5), 693-704, 2021
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
FAIR adoption, assessment and challenges at UniProt
L Garcia, J Bolleman, S Gehant, N Redaschi, M Martin
Scientific data 6 (1), 1-4, 2019
iBioProVis: interactive visualization and analysis of compound bioactivity space
A Donmez, AS Rifaioglu, A Acar, T Doğan, R Cetin-Atalay, V Atalay
Bioinformatics 36 (14), 4227-4230, 2020
CROssBAR: comprehensive resource of biomedical relations with knowledge graph representations
T Doğan, H Atas, V Joshi, A Atakan, AS Rifaioglu, E Nalbat, A Nightingale, ...
Nucleic acids research 49 (16), e96-e96, 2021
Predicting the Specificity-Determining Positions of the Receptor Tyrosine Kinase Axl
T Karakulak, AS Rifaioglu, J Rodrigues, E Karaca
Frontiers in Molecular Biosciences 8, 368, 2021
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
Ahmet Süreyya Rifaioğlu
AS Rifaioğlu
Deep learning for prediction of drug-target interaction space and protein functions
AS Rifaioğlu
Automated Negative Gene Ontology Based Functional Predictions for Proteins with UniGOPred
T Doğan, AS Rifaioğlu, R Saidi, MJ Martin, MV Atalay, R Atalay
Protein İşlevlerinin Altdizi Analizi ile Büyük Ölçekte Öngörme Yöntemleri
MV Atalay, A Dalkıran, AS Rifaioğlu, R Atalay
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
Computational drug target prediction and validation in PI3K AKT pathway
T Dogan, T Ersahin, A Rifaioglu, P Diago, A Nightingale, MJ Martin, ...
null, 2015
UniGOPred and ECPred Automated Function Prediction Tools Based on A Combination of Different Classifiers
A Rifaioglu, T Dogan, ÖS SARAÇ, MV ATALAY, M Martin, R ATALAY
null, 2015
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