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Articles 1 - 6 of 6
Full-Text Articles in Entire DC Network
Deciphering The Ck2-Dependent Phosphoproteome And Its Integration With Regulatory Ptm Networks, Teresa Nunez De Villavicencio Diaz
Deciphering The Ck2-Dependent Phosphoproteome And Its Integration With Regulatory Ptm Networks, Teresa Nunez De Villavicencio Diaz
Electronic Thesis and Dissertation Repository
Protein functions are regulated by the post-translational addition of covalent modifications on certain amino acids. Depending on their distance within the 3-dimensional structure, addition/removal of individual post translational modifications (PTMs) can be impacted by others. This PTM interplay constitutes an essential regulatory mechanism that interconnects the molecular networks in the cell. Protein CK2, a clinically relevant acidophilic Ser/Thr kinase, may be responsible for 10-20% of the human phosphoproteome. Such estimates agree with the number of known substrates, which continues to expand. Furthermore, the demonstration that CK2 participates in hierarchical phosphorylation and has similar sequence determinants to caspases suggest extensive PTM …
Hpv Mediated Antagonism Of The Il-18 Proinflammatory Pathway In Head And Neck Cancer, Wyatt W. Anderson
Hpv Mediated Antagonism Of The Il-18 Proinflammatory Pathway In Head And Neck Cancer, Wyatt W. Anderson
Electronic Thesis and Dissertation Repository
In this thesis, I examined the effect of human papillomavirus (HPV) on the proinflammatory IL-18 cytokine pathway in head and neck cancers. I investigated the expression and methylation of genes associated with this pathway using The Cancer Genome Atlas (TCGA) data. In HPV+ cancers, IL18, CASP1, and AIM2 were downregulated, while IL18BP was upregulated compared to HPV- cancers and adjacent non-cancerous tissues, and IL18’s promoter was significantly more methylated. I compared HPV+ and HPV- head and neck cancer cell lines for expression of RNA and protein levels of IL-18 and IL-18BP by qPCR, western blot, and ELISA. IL-18 …
Mathematical Modelling Of Prophage Dynamics, Tyler Pattenden
Mathematical Modelling Of Prophage Dynamics, Tyler Pattenden
Electronic Thesis and Dissertation Repository
We use mathematical models to study prophages, viral genetic sequences carried by bacterial genomes. In this work, we first examine the role that plasmid prophage play in the survival of de novo beneficial mutations for the associated temperate bacteriophage. Through the use of a life-history model, we determine that mutations first occurring in a plasmid prophage are far more likely to survive drift than those first occurring in a free phage. We then analyse the equilibria and stability of a system of ordinary differential equations that describe temperate phage-host dynamics. We elucidate conditions on dimensionless parameters to determine a parameter …
An Outcome-Based Statistical Framework To Select And Optimize Molecular Clustering Methods For Infectious Diseases, Connor Chato
An Outcome-Based Statistical Framework To Select And Optimize Molecular Clustering Methods For Infectious Diseases, Connor Chato
Electronic Thesis and Dissertation Repository
Collecting genetic sequences from infectious pathogens allows for the construction of molecular clusters: groups of cases with genetically similar pathogen populations. These imply outbreaks, but the methods used to create them often require a threshold to qualify clusters (ie. 99\% average pairwise sequence identity among cases). This project demonstrates a framework to observe the way that cluster-based outbreak detection responds to threshold selection using a variety of thresholds, three different sets of North American HIV-1 sequence data and two different methods to define clusters. This is done through cross-validation of predictive models, measuring performance through the loss of Akaike's information …
Machine Learning With Digital Signal Processing For Rapid And Accurate Alignment-Free Genome Analysis: From Methodological Design To A Covid-19 Case Study, Gurjit Singh Randhawa
Machine Learning With Digital Signal Processing For Rapid And Accurate Alignment-Free Genome Analysis: From Methodological Design To A Covid-19 Case Study, Gurjit Singh Randhawa
Electronic Thesis and Dissertation Repository
In the field of bioinformatics, taxonomic classification is the scientific practice of identifying, naming, and grouping of organisms based on their similarities and differences. The problem of taxonomic classification is of immense importance considering that nearly 86% of existing species on Earth and 91% of marine species remain unclassified. Due to the magnitude of the datasets, the need exists for an approach and software tool that is scalable enough to handle large datasets and can be used for rapid sequence comparison and analysis. We propose ML-DSP, a stand-alone alignment-free software tool that uses Machine Learning and Digital Signal Processing to …
Mhcherrypan, A Novel Model To Predict The Binding Affinity Of Pan-Specific Class I Hla-Peptide, Xuezhi Xie
Mhcherrypan, A Novel Model To Predict The Binding Affinity Of Pan-Specific Class I Hla-Peptide, Xuezhi Xie
Electronic Thesis and Dissertation Repository
The human leukocyte antigen (HLA) system or complex plays an essential role in regulating the immune system in humans. Accurate prediction of peptide binding with HLA can efficiently help to identify those neoantigens, which potentially make a big difference in immune drug development. HLA is one of the most polymorphic genetic systems in humans, and thousands of HLA allelic versions exist. Due to the high polymorphism of HLA complex, it is still pretty difficult to accurately predict the binding affinity. In this thesis, we presented a new algorithm to combine convolutional neural network and long short-term memory to solve this …