Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Ahmet Sureyya Rifaioglu"'
Publikováno v:
International Journal of Molecular Sciences, Vol 25, Iss 17, p 9392 (2024)
Hepatocellular carcinoma (HCC) is the most prevalent primary liver cancer, with a high mortality rate due to the limited therapeutic options. Systemic drug treatments improve the patient’s life expectancy by only a few months. Furthermore, the deve
Externí odkaz:
https://doaj.org/article/fcd045dca8c542c7a4615b44521ed611
Publikováno v:
Frontiers in Molecular Biosciences, Vol 8 (2021)
Owing to its clinical significance, modulation of functionally relevant amino acids in protein-protein complexes has attracted a great deal of attention. To this end, many approaches have been proposed to predict the partner-selecting amino acid posi
Externí odkaz:
https://doaj.org/article/14503ba127af405bbbdff34aa7359916
Autor:
Alperen Dalkiran, Ahmet Sureyya Rifaioglu, Maria Jesus Martin, Rengul Cetin-Atalay, Volkan Atalay, Tunca Doğan
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-13 (2018)
Abstract Background The automated prediction of the enzymatic functions of uncharacterized proteins is a crucial topic in bioinformatics. Although several methods and tools have been proposed to classify enzymes, most of these studies are limited to
Externí odkaz:
https://doaj.org/article/b99d8a4b09534f78a2529ea118214ae3
Autor:
Rengul Cetin-Atalay, Deniz Cansen Kahraman, Esra Nalbat, Ahmet Sureyya Rifaioglu, Ahmet Atakan, Ataberk Donmez, Heval Atas, M. Volkan Atalay, Aybar C. Acar, Tunca Doğan
Publikováno v:
Journal of Gastrointestinal Cancer. 52:1266-1276
Computational approaches have been used at different stages of drug development with the purpose of decreasing the time and cost of conventional experimental procedures. Lately, techniques mainly developed and applied in the field of artificial intel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb538c74d54630c9ecfc554e50ef4b31
https://doi.org/10.1007/s12029-021-00768-x
https://doi.org/10.1007/s12029-021-00768-x
Autor:
Gökhan Özsarı, Ahmet Sureyya Rifaioglu, Ahmet Atakan, Tunca Doğan, Maria Jesus Martin, Rengül Çetin Atalay, Volkan Atalay
Publikováno v:
Bioinformatics (Oxford, England). 38(17)
Summary Accurate prediction of the subcellular locations (SLs) of proteins is a critical topic in protein science. In this study, we present SLPred, an ensemble-based multi-view and multi-label protein subcellular localization prediction tool. For a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a33b32584a3a55f9c73e3915009a9bfd
https://pubmed.ncbi.nlm.nih.gov/35801913
https://pubmed.ncbi.nlm.nih.gov/35801913
Publikováno v:
Scientific Reports, Vol 9, Iss 1, Pp 1-16 (2019)
Scientific Reports
Scientific Reports
WOS: 000467839800015
31089211
Automated protein function prediction is critical for the annotation of uncharacterized protein sequences, where accurate prediction methods are still required. Recently, deep learning based methods have outper
31089211
Automated protein function prediction is critical for the annotation of uncharacterized protein sequences, where accurate prediction methods are still required. Recently, deep learning based methods have outper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53a395e4f78c02215665c78d6bc559a9
http://link.springer.com/article/10.1038/s41598-019-43708-3
http://link.springer.com/article/10.1038/s41598-019-43708-3
Due to its clinical relevance, modulation of functionally relevant amino acids in protein-protein complexes has attracted a great deal of attention. To this end, many approaches have been proposed to predict partner-selecting, i.e., specificity-deter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93626a9a541f95def16a08879b234317
https://doi.org/10.1101/2021.01.26.428202
https://doi.org/10.1101/2021.01.26.428202
Autor:
R Cetin Atalay, Maria Jesus Martin, Ahmet Sureyya Rifaioglu, D Cansen Kahraman, Volkan Atalay, Tunca Doğan
Motivation Identification of interactions between bioactive small molecules and target proteins is crucial for novel drug discovery, drug repurposing and uncovering off-target effects. Due to the tremendous size of the chemical space, experimental bi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c8b41aef77bca1195a8fb943a1511d6
https://aperta.ulakbim.gov.tr/record/237606
https://aperta.ulakbim.gov.tr/record/237606
Autor:
Tunca Doğan, Heval Atas, Ahmet Sureyya Rifaioglu, Maria Jesus Martin, Rabie Saidi, Rengul Cetin-Atalay, Hermann Zellner, Volkan Atalay, Vishal Joshi, Andrew Nightingale, Esra Nalbat, Ahmet Atakan, Vladimir Volynkin
Publikováno v:
Nucleic Acids Research
Systemic analysis of available large-scale biological/biomedical data is critical for studying biological mechanisms, and developing novel and effective treatment approaches against diseases. However, different layers of the available data are produc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ea230a7cafb20eeaf699870685fc865
https://hdl.handle.net/20.500.12508/1859
https://hdl.handle.net/20.500.12508/1859
Autor:
Maria Jesus Martin, Heval Atas, Vishal Joshi, Tunca Doğan, Vladimir Volynkin, Hermann Zellner, Andrew Nightingale, Ahmet Sureyya Rifaioglu, Rabie Saidi, Esra Nalbat, Rengul Cetin-Atalay, Ahmet Atakan, Volkan Atalay
Systemic analysis of available large-scale biological and biomedical data is critical for developing novel and effective treatment approaches against both complex and infectious diseases. Owing to the fact that different sections of the biomedical da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13455e717a3e3f452359d41a3b7523aa
https://doi.org/10.1101/2020.09.14.296889
https://doi.org/10.1101/2020.09.14.296889