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Ahmet Sureyya Rifaioglu

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International Journal of Molecular Sciences|September 14, 2024
Drug Repurposing Approach to Identify Candidate Drug Molecules for Hepatocellular CarcinomaTugce Baser, Ahmet Sureyya Rifaioglu, Mehmet Volkan Atalay, et al.
Frontiers in Molecular Biosciences|July 1, 2021
Predicting the Specificity- Determining Positions of Receptor Tyrosine Kinase AxlTülay Karakulak, Ahmet Sureyya Rifaioglu, João P G L M Rodrigues, et al.
Scientific Reports|May 16, 2019
DEEPred: Automated Protein Function Prediction with Multi-task Feed-forward Deep Neural NetworksAhmet Sureyya Rifaioglu, Tunca Doğan, Maria Jesus Martin, et al.
Bioinformatics (Oxford, England)|May 15, 2020
iBioProVis: interactive visualization and analysis of compound bioactivity spaceAtaberk Donmez, Ahmet Sureyya Rifaioglu, Aybar Acar, et al.
Bioinformatics (Oxford, England)|October 23, 2020
iBioProVis: interactive visualization and analysis of compound bioactivity spaceAtaberk Donmez, Ahmet Sureyya Rifaioglu, Aybar Acar, et al.
Briefings in Bioinformatics|August 8, 2018
Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databasesAhmet Sureyya Rifaioglu, Heval Atas, Maria Jesus Martin, et al.
BMC Bioinformatics|September 23, 2018
ECPred: a tool for the prediction of the enzymatic functions of protein sequences based on the EC nomenclatureAlperen Dalkiran, Ahmet Sureyya Rifaioglu, Maria Jesus Martin, et al.
Chemical Science|November 19, 2020
DEEPScreen: high performance drug-target interaction prediction with convolutional neural networks using 2-D structural compound representationsAhmet Sureyya Rifaioglu, Esra Nalbat, Volkan Atalay, et al.
BMC Bioinformatics|April 10, 2026
Molecular contrastive learning with graph attention network (MoCL-GAT) for enhanced molecular representationAlperen Dalkıran, Ahmet Sureyya Rifaioglu, Rengul Cetin-Atalay, et al.
Bioinformatics (Oxford, England)|July 8, 2022
SLPred: a multi-view subcellular localization prediction tool for multi-location human proteinsGökhan Özsarı, Ahmet Sureyya Rifaioglu, Ahmet Atakan, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
International Journal of Molecular Sciences|September 14, 2024
Drug Repurposing Approach to Identify Candidate Drug Molecules for Hepatocellular CarcinomaTugce Baser, Ahmet Sureyya Rifaioglu, Mehmet Volkan Atalay, et al.
Frontiers in Molecular Biosciences|July 1, 2021
Predicting the Specificity- Determining Positions of Receptor Tyrosine Kinase AxlTülay Karakulak, Ahmet Sureyya Rifaioglu, João P G L M Rodrigues, et al.
Scientific Reports|May 16, 2019
DEEPred: Automated Protein Function Prediction with Multi-task Feed-forward Deep Neural NetworksAhmet Sureyya Rifaioglu, Tunca Doğan, Maria Jesus Martin, et al.
Bioinformatics (Oxford, England)|May 15, 2020
iBioProVis: interactive visualization and analysis of compound bioactivity spaceAtaberk Donmez, Ahmet Sureyya Rifaioglu, Aybar Acar, et al.
Bioinformatics (Oxford, England)|October 23, 2020
iBioProVis: interactive visualization and analysis of compound bioactivity spaceAtaberk Donmez, Ahmet Sureyya Rifaioglu, Aybar Acar, et al.
Briefings in Bioinformatics|August 8, 2018
Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databasesAhmet Sureyya Rifaioglu, Heval Atas, Maria Jesus Martin, et al.
BMC Bioinformatics|September 23, 2018
ECPred: a tool for the prediction of the enzymatic functions of protein sequences based on the EC nomenclatureAlperen Dalkiran, Ahmet Sureyya Rifaioglu, Maria Jesus Martin, et al.
Chemical Science|November 19, 2020
DEEPScreen: high performance drug-target interaction prediction with convolutional neural networks using 2-D structural compound representationsAhmet Sureyya Rifaioglu, Esra Nalbat, Volkan Atalay, et al.
BMC Bioinformatics|April 10, 2026
Molecular contrastive learning with graph attention network (MoCL-GAT) for enhanced molecular representationAlperen Dalkıran, Ahmet Sureyya Rifaioglu, Rengul Cetin-Atalay, et al.
Bioinformatics (Oxford, England)|July 8, 2022
SLPred: a multi-view subcellular localization prediction tool for multi-location human proteinsGökhan Özsarı, Ahmet Sureyya Rifaioglu, Ahmet Atakan, et al.
Pageof 2