Computational Biology Commons^™

Leveraging Attention Mechanism To Unlock Gene And Protein Attributes, Ala Jararweh

Computer Science ETDs

Advancing personalized medicine depends on effectively integrating and interpreting the vast, heterogeneous landscape of biological data, from genomic sequences and transcriptomics to the insights embedded in scientific literature. Current machine learning models often focus on single data modalities, limiting their capacity to capture the multifaceted nature of biological systems. We address this gap by developing three attention-based machine-learning models integrating diverse data modalities. Firstly, DeepVul is a multi-task model that leverages cancer transcriptome data to predict genes critical for cancer survival and their corresponding drugs. Subsequently, LitGene refines gene representations by integrating textual information from the scientific literature. Finally, Protein2Text …

Evolution In Complex Systems: A Computational Prespective, Andisheh Dadashi

Computer Science ETDs

As we are entering the era of multi-omic datasets, it is increasingly evident that the complexities of natural systems exceed the capabilities of current computational methodologies. My dissertation research aims to reduce this gap by using computational frameworks to investigate the evolution of complex systems. I apply a model of metabolic networks to predict human embryonic metabolism during peri-implantation (Chapter I), offering insights into the foundations of early human development. This dissertation further examines the basis of the phenotypic evolution of polygenic traits when subjected to directional (Chapter II) and temporally varying environmental shifts (Chapter III), revealing the roles of …

Defining The Role Of Core Histones In Cellular Quiescence, Eric M. Small

Biomedical Sciences ETDs

Quiescence is a distinct cell cycle phase, termed G0, in which growth, transcriptional and translational activity, and replication are halted. Importantly, quiescent cells are viable and can return to the cell cycle. Quiescence is a feature of all organisms and a key hallmark of stem cells; however, the regulation of quiescence is still poorly understood.

Prior studies have implicated chromatin in the regulation of quiescence. In aim 1 I conducted a comprehensive screen of H3 and H4 histone mutants to identify chromatin features that may affect quiescence. I identified several histone residues implicated in transcriptional regulation that altered quiescence and …

Comparative Genomics Methods And Applications, Emily N. Alden

Biomedical Sciences ETDs

Virtually all fields of biology have benefited from the advancements in comparative genomics technologies, specifically in the study of evolution. In this dissertation I develop and use comparative genomic technologies to investigate the novel SARS-CoV-2 virus, assembly the first genome of the black lace domestic angelfish and identify germline genetic variants associated with altered breast cancer-specific survival. Our genome tiling array for the novel coronavirus presents a rapid and cost-effective method to sequence the entire viral genome and can be used to track the rapid evolution of viral variants in the population. The domestic angelfish is a member of the …

Physella Acuta, Comparative Immunology And Evolutionary Aspects Of Gastropod Immune Function, Jonathan H. Schultz

Biology ETDs

Gastropod immunobiology has benefitted from investigations focused on the planorbid snail Biomphalaria glabrata, intermediate host for the human parasite Schistosoma mansoni. Though such concentrated efforts have elucidated fascinating aspects of invertebrate immunity, they have not provided full knowledge regarding the evolution of immune function among other gastropod species. This dissertation presents the importance of making strategic choices regarding which organisms to select for comparative immunology. Herein, the choice was made to investigate the immunobiology of Physella acuta, a freshwater snail species of the Physidae, a sister family to Planorbidae to which B. glabrata belongs. Benefiting greatly from …

Exploring Biological Heterogeneity And Its Consequences At Tissue And Cellular Scales Through Mathematical And Computational Modeling, Romica Kerketta

Biomedical Sciences ETDs

This dissertation explores the effects of heterogeneity across different biological scales in cancer as well as normal cells. At the tissue scale, we investigated the variability present in the tumor microenvironment and its effect on patient chemotherapeutic outcomes using a mathematical model of drug transport. We found that parameters such as tumor blood perfusion and radius of blood vessel had an impact on the tumor cytotoxicity. This indicated that the physical microenvironment of the tumor is an important regulator of the tumor response to chemotherapy. At the cellular scale, we investigated the heterogeneity present on the membrane landscape of ErbB2 …