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Full-Text Articles in Life Sciences
Deep Learning In Bioinformatics, Malik Yousef, Jens Allmer
Deep Learning In Bioinformatics, Malik Yousef, Jens Allmer
Turkish Journal of Biology
Deep learning is a powerful machine learning technique that can learn from large amounts of data using multiple layers of artificial neural networks. This paper reviews some applications of deep learning in bioinformatics, a field that deals with analyzing and interpreting biological data. We first introduce the basic concepts of deep learning and then survey the recent advances and challenges of applying deep learning to various bioinformatics problems, such as genome sequencing, gene expression analysis, protein structure prediction, drug discovery, and disease diagnosis. We also discuss future directions and opportunities for deep learning in bioinformatics. We aim to provide an …
Developing A Label Propagation Approach For Cancer Subtype Identification Problem, Pinar Güner, Burcu Güngör, Mustafa Coşkun
Developing A Label Propagation Approach For Cancer Subtype Identification Problem, Pinar Güner, Burcu Güngör, Mustafa Coşkun
Turkish Journal of Biology
Cancer is a disease in which abnormal cells grow uncontrollably and invade other tissues. Several types of cancer have various subtypes with different clinical and biological implications. Based on these differences, treatment methods need to be customized. The identification of distinct cancer subtypes is an important problem in bioinformatics, since it can guide future precision medicine applications. In order to design targeted treatments, bioinformatics methods attempt to discover common molecular pathology of different cancer subtypes. Along this line, several computational methods have been proposed to discover cancer subtypes or to stratify cancer into informative subtypes. However, existing works do not …
Doxorubicin-Induced Transcriptome Meets Interactome: Identification Of New Drug Targets, Hi̇lal Taymaz-Ni̇kerel
Doxorubicin-Induced Transcriptome Meets Interactome: Identification Of New Drug Targets, Hi̇lal Taymaz-Ni̇kerel
Turkish Journal of Biology
The working mechanism of the chemotherapeutic drug doxorubicin, which is frequently used in cancer treatment, its effects on cell metabolism, and pathways activated solely by doxorubicin are not fully known. Understanding these principles is important both in improving existing therapies and in finding new drug targets. Here, I describe a systems-biology approach to find a generalizable working principle for doxorubicin by superimposition of human interactome over gene datasets commonly expressed among various cancer types. The common ?in at least two different diseases?transcriptional response of distinctive cancer cell lines to doxorubicin was reflected via 199 significantly and differentially expressed genes, mostly …
Ss-Carboline Alkaloids Induce Structural Plasticity And Inhibition Of Sars-Cov-2 Nsp3 Macrodomain More Potently Than Remdesivir Metabolite Gs-441524: Computational Approach, Yusuf Oloruntoyin Ayipo, Sani Najib Yahaya, Halimah Funmilayo Babamale, Iqrar Ahmad, Harun Patel, Mohd Nizam Mordi
Ss-Carboline Alkaloids Induce Structural Plasticity And Inhibition Of Sars-Cov-2 Nsp3 Macrodomain More Potently Than Remdesivir Metabolite Gs-441524: Computational Approach, Yusuf Oloruntoyin Ayipo, Sani Najib Yahaya, Halimah Funmilayo Babamale, Iqrar Ahmad, Harun Patel, Mohd Nizam Mordi
Turkish Journal of Biology
The nsp3 macrodomain is implicated in the viral replication, pathogenesis and host immune responses through the removal of ADP-ribosylation sites during infections of coronaviruses including the SARS-CoV-2. It has ever been modulated by macromolecules including the ADP-ribose until Ni and co-workers recently reported its inhibition and plasticity enhancement unprecedentedly by remdesivir metabolite, GS-441524, creating an opportunity for investigating other biodiverse small molecules such as ß-Carboline (ßC) alkaloids. In this study, 1497 ßC analogues from the HiT2LEAD chemical database were screened, using computational approaches of Glide XP docking, molecular dynamics simulation and pk-CSM ADMET predictions. Selectively, ßC ligands, 129, 584, 1303 …
Identification Of Differentially Expressed Micrornas In Primary Esophageal Achalasia By Next-Generation Sequencing, Mahin Gholipour, Javad Mikaeli, Seyed Javad Mowla, Mohammad Reza Bakhtiarzadeh, Marie Saghaeian Jazi, Naeme Javid, Narges Fazlollahi, Masoud Khoshnia, Naser Behnampour, Abdolvahab Moradi
Identification Of Differentially Expressed Micrornas In Primary Esophageal Achalasia By Next-Generation Sequencing, Mahin Gholipour, Javad Mikaeli, Seyed Javad Mowla, Mohammad Reza Bakhtiarzadeh, Marie Saghaeian Jazi, Naeme Javid, Narges Fazlollahi, Masoud Khoshnia, Naser Behnampour, Abdolvahab Moradi
Turkish Journal of Biology
Molecular knowledge regarding the primary esophageal achalasia is essential for the early diagnosis and treatment of this neurodegenerative motility disorder. Therefore, there is a need to find the main microRNAs (miRNAs) contributing to the mechanisms of achalasia. This study was conducted to determine some patterns of deregulated miRNAs in achalasia. This case-control study was performed on 52 patients with achalasia and 50 nonachalasia controls. The miRNA expression profiling was conducted on the esophageal tissue samples using the next-generation sequencing (NGS). Differential expression of miRNAs was analyzed by the edgeR software. The selected dysregulated miRNAs were additionally confirmed using the quantitative …
Prediction Of Host-Pathogen Protein Interactions By Extended Network Model, İrfan Kösesoy, Murat Gök, Tamer Kahveci̇
Prediction Of Host-Pathogen Protein Interactions By Extended Network Model, İrfan Kösesoy, Murat Gök, Tamer Kahveci̇
Turkish Journal of Biology
Knowledge of the pathogen-host interactions between the species is essentialin order to develop a solution strategy against infectious diseases. In vitro methods take extended periods of time to detect interactions and provide very few of the possible interaction pairs. Hence, modelling interactions between proteins has necessitated the development of computational methods. The main scope of this paper is integrating the known protein interactions between thehost and pathogen organisms to improve the prediction success rate of unknown pathogen-host interactions. Thus, the truepositive rate of the predictions was expected to increase.In order to perform this study extensively, encoding methods and learning algorithms …
Integration Of Transcriptomic Profile Of Sars-Cov-2 Infected Normal Human Bronchial Epi-Thelial Cells With Metabolic And Protein-Protein Interaction Networks, Hamza Umut Karakurt, Pinar Pi̇r
Integration Of Transcriptomic Profile Of Sars-Cov-2 Infected Normal Human Bronchial Epi-Thelial Cells With Metabolic And Protein-Protein Interaction Networks, Hamza Umut Karakurt, Pinar Pi̇r
Turkish Journal of Biology
A novel coronavirus (SARS-CoV-2, formerly known as nCoV-2019) that causes an acute respiratory disease has emerged in Wuhan, China and spread globally in early 2020. On January the 30th, the World Health Organization (WHO) declared spread of this virus as an epidemic and a public health emergency. With its highly contagious characteristic and long incubation time, confinement of SARS-CoV-2 requires drastic lock-down measures to be taken and therefore early diagnosis is crucial. We analysed transcriptome of SARS-CoV-2 infected human lung epithelial cells, compared it with mock-infected cells, used network-based reporter metabolite approach and integrated the transcriptome data with protein-protein interaction …
Signature Changes In The Expressions Of Protein-Coding Genes, Lncrnas, And Repeat Elements In Early And Late Cellular Senescence, Gökhan Karakülah, Ci̇hangi̇r Yandim
Signature Changes In The Expressions Of Protein-Coding Genes, Lncrnas, And Repeat Elements In Early And Late Cellular Senescence, Gökhan Karakülah, Ci̇hangi̇r Yandim
Turkish Journal of Biology
Replicative cellular senescence is the main cause of aging. It is important to note that early senescence is linked to tissue regeneration, whereas late senescence is known to trigger a chronically inflammatory phenotype. Despite the presence of various genome-wide studies, there is a lack of information on distinguishing early and late senescent phenotypes at the transcriptome level. Particularly, the changes in the noncoding RNA portion of the aging cell have not been fully elucidated. By utilising RNA sequencing data of fibroblasts, hereby, we are not only reporting changes in gene expression profiles and relevant biological processes in the early and …
K-Shell Decomposition Reveals Structural Properties Of The Gene Coexpression Network Forneurodevelopment, Abdullah Ercüment Çi̇çek
K-Shell Decomposition Reveals Structural Properties Of The Gene Coexpression Network Forneurodevelopment, Abdullah Ercüment Çi̇çek
Turkish Journal of Biology
Neurodevelopment is a dynamic and complex process, which involves interactions of thousands of genes. Understanding the mechanisms of brain development is important for uncovering the genetic architectures of neurodevelopmental disorders such as autism spectrum disorder and intellectual disability. The BrainSpan dataset is an important resource for studying the transcriptional mechanisms governing neurodevelopment. It contains RNA-seq and microarray data for 13 developmental periods in 8?16 brain regions. Various important studies used this dataset, in particular to generate gene coexpression networks. The topology of the BrainSpan gene coexpression network yielded various important gene clusters, which are found to play key roles in …
Order-Wide In Silico Comparative Analysis And Identification Ofgrowth-Regulating Factor Proteins In Malpighiales, Murat Kemal Avci, Muavvi̇z Ayvaz, Hüseyi̇n Uysal, Emre Sevi̇ndi̇k, Seda Örenay Boyacioğlu, Çi̇ğdem Yamaner
Order-Wide In Silico Comparative Analysis And Identification Ofgrowth-Regulating Factor Proteins In Malpighiales, Murat Kemal Avci, Muavvi̇z Ayvaz, Hüseyi̇n Uysal, Emre Sevi̇ndi̇k, Seda Örenay Boyacioğlu, Çi̇ğdem Yamaner
Turkish Journal of Biology
Malpighiales, containing approximately 16,000 species, is one of the largest and most diverse angiosperm orders in plants. Growth-regulating factor (GRF) protein is a putative transcription factor and plays a regulatory role during plant growth and development processes such as stem elongation and cell expansion. The latest available protein data provide an opportunity to compare and understand the critical similarities and differentiation in GRF proteins among Malpighiales members. In the present study we conducted domain, two- and three-dimensional (2D, 3D) comparative, physicochemical, subcellular prediction, and sequence analysis of 87 putative GRF proteins belonging to 4 genera in Malpighiales using different bioinformatic …
Proteomics Comparison Of Aspartic Protease Enzyme In Insects, Samin Seddigh, Maryam Darabi
Proteomics Comparison Of Aspartic Protease Enzyme In Insects, Samin Seddigh, Maryam Darabi
Turkish Journal of Biology
Aspartic proteases (APs; EC: 3.4.23) are a catalytic type of protease enzymes that use an activated water molecule, bound to one or more aspartate residues, for catalysis of their peptide substrates. In this study, bioinformatic analyses of APs enzymes were performed on insect protein sequences, including nineteen species of eleven different families. According to the conserved motifs obtained with MEME and MAST tools, three motifs were common to all insects. The structural and functional analyses of five selected insects from different orders were performed with ProtParam, SOPMA, SignalP 4.1, TMHMM 2.0, and ProDom tools in the ExPASy database. The tertiary …
Global Assessment Of Network Inference Algorithms Based On Available Literature Of Gene/Protein Interactions, Gökmen Altay, Nejla Altay, David Neal
Global Assessment Of Network Inference Algorithms Based On Available Literature Of Gene/Protein Interactions, Gökmen Altay, Nejla Altay, David Neal
Turkish Journal of Biology
We propose a framework that uses the available gene/protein interaction databases of the literature as a universal benchmark in order to globally assess the inference performances of gene network inference algorithms. We also developed an R software package for convenient use of the framework, which can also be used in general as a quick tool to search in the literature for available validations of interactions. We applied the proposed approach to 2 publicly available prostate cancer gene expression datasets and a large breast cancer gene expression dataset. The results revealed different aspects and superiority of algorithms that had not been …
Identification And Characterization Of The Rat Dvl2 Gene Using Bioinformatic Tools, Lokman Varişli, Osman Çen
Identification And Characterization Of The Rat Dvl2 Gene Using Bioinformatic Tools, Lokman Varişli, Osman Çen
Turkish Journal of Biology
We identified and characterized the rat DVL2 gene using bioinformatics. In addition to the structure and chromosomal localization of the rat DVL2 gene, the transcribed and translated protein product of the gene was analyzed in silico. Results showed that the rat DVL2 gene consists of 15 exons and is located on the rat genomic contig WGA1854.3 on chromosome 10. Database searches using the rat DVL2 amino acid sequence as a query showed a number of homologous protein sequences in different species, including M. musculus, P. troglodytes, C. familiaris, H. sapiens, B. taurus, D. rerio, X. laevis, and T. nigroviridis. DAX, …