Author

Nazmiye Arslan

Dokuz Eylül University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:benchmark study· 1 Research Focus:benchmarking· 1 Assay:ChIP-seq· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:protein structure· 1 Approach:statistical model· 1

Frequent Co-Authors

Gökhan KarakülahiD· 2 shared Atakan ÖzsaniD· 1 shared Ayşe Berçin BarlasiD· 1 shared Burcu OzdeniD· 1 shared Büşra SavaşiD· 1 shared Can YükrükiD· 1 shared Doğa EskieriD· 1 shared Eda ŞamiloğluiD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersGenomics

Gökhan KarakülahORCID

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2 papers

Recent·Most cited

regulaTER: An R Library to Study the Regulatory Roles of Transposable Elements.

Doğa Eskier, Seray Yetkin, Nazmiye Arslan, Gökhan Karakülah, Hani Alotaibi

regulaTER is an R library that predicts the regulatory roles of transposable elements using genomics data and validates its capabilities using EMT/MET transition data.

bioRxiv · Jun 29, 2024 · PreprintGenomics

Benchmarking the accuracy of structure-based binding affinity predictors on Spike-ACE2 Deep Mutational Interaction Set

Burcu Ozden, Eda Şamiloğlu, Atakan Özsan, Mehmet Erguven, Can Yükrük, Mehdi Koşaca, Melis Oktayoğlu, Muratcan Menteş, Nazmiye Arslan, Gökhan Karakülah, Ayşe Berçin Barlas, Büşra Savaş, Ezgi Karaca

The paper benchmarks six structure-based binding affinity predictors on Spike-ACE2 mutations, finding FoldX performs best with R = -0.51 and 64% accuracy in binary classification.

Proteins Structure Function and Bioinformatics · Nov 22, 2023Peer-reviewedBioinformatics