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Tunca Doğan

Showing results (1-10 of 30) with videos related to

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Peerj|August 8, 2018
HPO2GO: prediction of human phenotype ontology term associations for proteins using cross ontology annotation co-occurrencesTunca Doğan
Plos One|September 27, 2013
Automatic identification of highly conserved family regions and relationships in genome wide datasets including remote protein sequencesTunca Doğan, Bilge Karaçalı
Computational and Structural Biotechnology Journal|October 12, 2023
ASCARIS: Positional feature annotation and protein structure-based representation of single amino acid variationsFatma Cankara, Tunca Doğan
Expert Opinion on Drug Discovery|November 29, 2022
Machine learning-based prediction of drug approvals using molecular, physicochemical, clinical trial, and patent-related featuresFulya Ciray, Tunca Doğan
Protein Science : a Publication of the Protein Society|May 17, 2024
Mutual annotation-based prediction of protein domain functions with Domain2GOErva Ulusoy, Tunca Doğan
Journal of Cheminformatics|February 7, 2023
How to approach machine learning-based prediction of drug/compound-target interactionsHeval Atas Guvenilir, Tunca Doğan
Methods in Molecular Biology (Clifton, N.J.)|March 30, 2018
Phylogenetic and Other Conservation-Based Approaches to Predict Protein Functional SitesHeval Atas, Nurcan Tuncbag, Tunca Doğan
Frontiers in Molecular Biosciences|December 20, 2021
Editorial: Machine Learning Methodologies to Study Molecular InteractionsArtur Yakimovich, Arzucan Özgür, Tunca Doğan, et al.
Current Opinion in Structural Biology|February 22, 2025
Protein language models for predicting drug-target interactions: Novel approaches, emerging methods, and future directionsAtabey Ünlü, Erva Ulusoy, Melih Gökay Yiğit, et al.
Methods in Molecular Biology (Clifton, N.J.)|July 29, 2025
A Benchmarking Platform for Assessing Protein Language Models on Function-Related Prediction TasksElif Çevrim, Melih Gökay Yiğit, Erva Ulusoy, et al.
Pageof 3

Showing results (1-10 of 30) with videos related to

Sort By:
Pageof 3
Peerj|August 8, 2018
HPO2GO: prediction of human phenotype ontology term associations for proteins using cross ontology annotation co-occurrencesTunca Doğan
Plos One|September 27, 2013
Automatic identification of highly conserved family regions and relationships in genome wide datasets including remote protein sequencesTunca Doğan, Bilge Karaçalı
Computational and Structural Biotechnology Journal|October 12, 2023
ASCARIS: Positional feature annotation and protein structure-based representation of single amino acid variationsFatma Cankara, Tunca Doğan
Expert Opinion on Drug Discovery|November 29, 2022
Machine learning-based prediction of drug approvals using molecular, physicochemical, clinical trial, and patent-related featuresFulya Ciray, Tunca Doğan
Protein Science : a Publication of the Protein Society|May 17, 2024
Mutual annotation-based prediction of protein domain functions with Domain2GOErva Ulusoy, Tunca Doğan
Journal of Cheminformatics|February 7, 2023
How to approach machine learning-based prediction of drug/compound-target interactionsHeval Atas Guvenilir, Tunca Doğan
Methods in Molecular Biology (Clifton, N.J.)|March 30, 2018
Phylogenetic and Other Conservation-Based Approaches to Predict Protein Functional SitesHeval Atas, Nurcan Tuncbag, Tunca Doğan
Frontiers in Molecular Biosciences|December 20, 2021
Editorial: Machine Learning Methodologies to Study Molecular InteractionsArtur Yakimovich, Arzucan Özgür, Tunca Doğan, et al.
Current Opinion in Structural Biology|February 22, 2025
Protein language models for predicting drug-target interactions: Novel approaches, emerging methods, and future directionsAtabey Ünlü, Erva Ulusoy, Melih Gökay Yiğit, et al.
Methods in Molecular Biology (Clifton, N.J.)|July 29, 2025
A Benchmarking Platform for Assessing Protein Language Models on Function-Related Prediction TasksElif Çevrim, Melih Gökay Yiğit, Erva Ulusoy, et al.
Pageof 3