Aylin Bircan
Sabancı University
7 Papers
17 Citations
Aylin Bircan is an academic researcher from Sabancı University. The author has contributed to research in topics: Phylogenetic tree & Biology. The author has an hindex of 3, co-authored 4 publications.
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Papers
Phylogenetic analysis of sars-cov-2 genomes in Turkey
TL;DR: A phylogenetic tree with globally obtained 15,277 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomes is built and the subtypes based on the phylogenetic clustering in comparison with the previously annotated classifications are identified.
18
SURF1 related Leigh syndrome: Clinical and molecular findings of 16 patients from Turkey.
Melis Köse,Ebru Canda,Mehtap Kagnici,Ayca Aykut,Ogun Adebali,Asude Durmaz,Aylin Bircan,Gulden Diniz,Cenk Eraslan,Engin Kose,Aycan Ünalp,Ünsal Yılmaz,Berk Ozyilmaz,Taha Reşid Özdemir,Tahir Atik,Sema Kalkan Uçar,Robert McFarland,Robert W. Taylor,Garry K. Brown,Mahmut Çoker,Ferda Ozkinay,Ferda Ozkinay +21 more
TL;DR: This study is the first comprehensive research from Turkey that provides information about disease-causing variants in the SURf1 gene and the identification of common variants and phenotype of the SURF1 gene is important for understanding SURF 1 related LS.
13
Molecular biology of sars-cov-2
Sofia Piepoli,Bahar Shamloo,Aylin Bircan,Ogun Adebali,Batu Erman +4 more
- 01 Jan 2020
TL;DR: The novel aspects of the SARS-CoV-2 coronavirus life cycle are highlighted, and how this and other viruses interact with the biochemistry of the host organism is described.
2
Evolutionary history of Calcium-sensing receptors sheds light into hyper/hypocalcemia-causing mutations
TL;DR: In this article , the authors used phylogeny-based methods to identify functionally equivalent orthologs of CaSR, predict the importance of each residue, and calculate specificity-determining position (SDP) scores to uncover the evolutionary basis of its function.
1
PHACT: Phylogeny-Aware Computing of Tolerance for Missense Mutations
TL;DR: A new method is proposed, PHACT, that predicts the pathogenicity of missense mutations directly from the phylogenetic tree of proteins, and evaluates the deleteriousness of a substitution based on the probability differences of ancestral amino acids between neighboring nodes in the tree.