Zobrazeno 1 - 8
of 8
pro vyhledávání: '"M. Gokhan Habiboglu"'
Publikováno v:
Methods in Molecular Biology ISBN: 9781071615454
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fe2ad971637c8fb65f2c2404f7e8e29
https://doi.org/10.1007/978-1-0716-1546-1_8
https://doi.org/10.1007/978-1-0716-1546-1_8
Publikováno v:
Zeitschrift für Physikalische Chemie. 233:527-550
Carbohydrate complexes are crucial in many various biological and medicinal processes. The impacts of N-acetyl on the glycosidic linkage flexibility of methyl β-D-glucopyranose, and of the glycoamino acid β-D-glucopyranose-asparagine are poorly und
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb52864b6b16ea01041f512e9393ff48
https://doi.org/10.1515/zpch-2018-1251
https://doi.org/10.1515/zpch-2018-1251
Publikováno v:
Physical Chemistry Chemical Physics. 20:30525-30536
The self assembly processes of aromatic amino acids, phenylalanine, tyrosine, and tryptophan have been simulated and were observed to form fibril-like aggregates linked to certain rare diseases and instances of biological membrane disruption. Pure sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd32393180898152b8ad0e154cfcc283
https://doi.org/10.1039/c8cp06239k
https://doi.org/10.1039/c8cp06239k
Autor:
Sahin Uyaver, M. Gokhan Habiboglu
3rd International Conference of Mathematical Sciences (ICMS), SEP 04-08, 2019, Maltepe Univ, Istanbul, TURKEY WOS:000505225800091 Tyrosine is one of the important aromatic amino acids, the wrong metabolization of which usually results in severe menta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9427f55316fe5ecd3ccb9b7bba737ce
https://hdl.handle.net/20.500.12415/7691
https://hdl.handle.net/20.500.12415/7691
Autor:
M. Gokhan Habiboglu, Yagmur Denizhan
Publikováno v:
Mathematical and Computer Modelling of Dynamical Systems. 21:228-250
In this paper, we present a novel macro-scale analytical model that allows the prediction of how the population size will change in a cell culture starting from an arbitrary initial value. General biological knowledge and some empirical observations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33c4a9e7407e3857b8594cc13b14d1e0
https://doi.org/10.1080/13873954.2014.929151
https://doi.org/10.1080/13873954.2014.929151
Autor:
M. Gokhan Habiboglu, Yagmur Denizhan
Publikováno v:
Trends in Mathematics ISBN: 9783319081373
The main purpose of this study is to model the population dynamics in a eukaryotic cell culture. Besides providing an insight into the important aspects of modelling at different scales and the relation between these models, the study is supposed to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad9c3991171279e314653219ec3cda29
https://doi.org/10.1007/978-3-319-08138-0_7
https://doi.org/10.1007/978-3-319-08138-0_7
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