Browsing by Author "Habiboğlu, Mehmet Gökhan"
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From Quantum Mechanics, Classical Mechanics and Bioinformatics to Artificial Intelligence Studies in Neurodegenerative Diseases
Habiboğlu, Mehmet Gökhan (2021)This volume provides computational methods and reviews various aspects of computational studies of protein aggregation. Chapters discuss the relationship between protein misfolding and protein aggregation, methods of ... -
From quantum mechanics, classical mechanics, and bioinformatics to artificial intelligence studies in neurodegenerative diseases
Habiboğlu, Mehmet Gökhan; Coşkuner Weber, Orkid; Uversky, Vladimir N.; Teplow, David (Springer, 2022)The amyloid β-protein is an intrinsically disordered protein that has the potential to assemble into myriad structures, including oligomers and fibrils. These structures are neurotoxic and are thought to initiate a cascade ... -
Glycopeptides by quantum chemistry and artificial intelligence
Habiboğlu, Mehmet Gökhan (2018)Glycation destroys or impairs the biological function of peptides and proteins. The bacteria cell wall polymers consist of GlcNAc, which is crosslinked with oligopeptides. While glutamine is a nonessential amino acid ... -
On the efficiency of LSTM in classifying musical impressions from EEG recordings
The objective of this study is the classification of musical impressions with long short-term memory (LSTM) approach using EEG recordings of 20 subjects, while listening to different music genres. For this purpose, a deep ... -
Parameter and feature selection in decision trees for the classification of musical impressions from EEG records
Reliable classification of different emotions is an important issue for emotional interaction between humans and computers. Therefore, this study aims at assessing the performance of decision trees in classifying musical ... -
Prediction of psychological disorder levels with deep learning models based on electroencephalography (EEG) signals
Memişoğlu, Oğuzhan (Türk-Alman Üniversitesi Fen Bilimler Enstitüsü, 2024)Psychological disorders, diverse and complex, paint a spectrum of challenges across the human experience. Depression is one of the life-threatening psychological disorders that impacts millions of individuals worldwide. ... -
Quantum chemistry meets deep learning for complex carbohydrate and glycopeptide species I
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-glucopyrano ... -
Self-assembly of aromatic amino acids: a molecular dynamics study
Uyaver, Şahin; Hernandez, Helen W.; Habiboğlu, Mehmet Gökhan (Royal Soc Chemistry, 2018)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 ... -
Shape investigations of structures formed by the self-assembly of aromatic amino acids using the density-based spatial clustering of applications with noise algorithm
Habiboğlu, Mehmet Gökhan; Hernandez, Helen W.; Uyaver, Şahin (Scientific & Technical Research Council Turkey-TUBITAK, 2022)Tyrosine, tryptophan, and phenylalanine are important aromatic amino acids for human health. If they are not properly metabolized, severe rare mental or metabolic diseases can emerge, many of which are not researched enough ... -
Shape measurement for cylindirical structures formed by tyrosine molecules
Habiboğlu, Mehmet Gökhan; Uyaver, Şahin (Amer Inst Physics, 2019)Tyrosine is one of the important aromatic amino acids, the wrong metabolization of which usually results in severe mental diseases. Based on the simulation results it was observed that tyrosine molecules form fibril-like ...