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Articles 1 - 30 of 40
Full-Text Articles in Computational Biology
A Computational Assessment Of Halobacterium Salinarum Glutamate Dehydrogenase Enzymes, Maaz Abdalla
A Computational Assessment Of Halobacterium Salinarum Glutamate Dehydrogenase Enzymes, Maaz Abdalla
Thesis/ Dissertation Defenses
Glutamate dehydrogenase (GDH) is a hexameric enzyme. GDH is involved in several pathways and cellular processes such as oxidation-reduction homeostasis, ammonia metabolism, lipid biosynthesis, insulin and lactate production, and acid-base equilibrium. The main objective of this thesis is to understand the structural and biochemical properties of this enzyme and why some organisms, for e.g., Halobacterium salinarum, have more than one GDH with different coenzyme specificities. The catabolism of glutamate is linked to NAD+-specific GDHs, meanwhile, NADP+-specific GDHs play an anabolic role in ammonia assimilation. Molecular docking and binding free energy calculations were employed followed by long-scale (500 nanoseconds) comparative molecular …
Systematics Of Disk-Winged Bats (Thyroptera), Courtney L. Klumpp
Systematics Of Disk-Winged Bats (Thyroptera), Courtney L. Klumpp
Capstone Showcase
This thesis investigates the evolutionary relationships among disk-winged bats in the genus Thyroptera, a small group of Neotropical bats known for the adhesive suction disks on their wings and feet that allow them to roost inside tightly rolled leaves. The distinctive morphology and behavior of these bats have not been extensively documented, and their phylogenetic relationships remain only partially resolved. The goal of this research is to better understand how these species are related to one another and to determine whether the five recognized species of Thyroptera form a single monophyletic group. To address this question, morphological and genetic …
From Venom To Medicine: Harnessing Animal Toxins For Drug Discovery, Christine Vega, Ying Jia
From Venom To Medicine: Harnessing Animal Toxins For Drug Discovery, Christine Vega, Ying Jia
Research Colloquium
Background: Drug development research has long focused on synthesizing novel therapeutics while overlooking isolation from naturally available sources such as animal venoms. Recently, the discovery of the therapeutic effects of highly bioavailable animal venom caused the field of venom research to soar in popularity. Animal venom serves as a natural, sophisticated tool optimized over millions of years by evolution with the ability to bind to ion channels such as nAChRs, non-specific ligand-gated ion channels distributed throughout the human nervous system. However, purifying individual venom toxins from crude venom is challenging due to its availability. Therefore, synthesizing large quantities of venom …
The Impact Of Temperature And Humidity On The Transcriptome Of Symbiochloris Reticulata In Relation To Lobaria Pulmonaria’S Genepools, Ioana Violeta Ardelean, Christoph Scheidegger, Mihai Miclaus
The Impact Of Temperature And Humidity On The Transcriptome Of Symbiochloris Reticulata In Relation To Lobaria Pulmonaria’S Genepools, Ioana Violeta Ardelean, Christoph Scheidegger, Mihai Miclaus
FRONTIERS UNBOUND: Exploring Extreme Environments
No abstract provided.
Optimizing Immunotherapies For Improved Cancer Treatment, Anne Talkington, Anthony Kearsley
Optimizing Immunotherapies For Improved Cancer Treatment, Anne Talkington, Anthony Kearsley
Biology and Medicine Through Mathematics Conference
No abstract provided.
A Machine Learning Model Of Perturb-Seq Data For Use In Space Flight Gene Expression Profile Analysis, Liam F. Johnson, James Casaletto, Lauren Sanders, Sylvain Costes
A Machine Learning Model Of Perturb-Seq Data For Use In Space Flight Gene Expression Profile Analysis, Liam F. Johnson, James Casaletto, Lauren Sanders, Sylvain Costes
Graduate Industrial Research Symposium
The genetic perturbations caused by spaceflight on biological systems tend to have a system-wide effect which is often difficult to deconvolute it into individual signals with specific points of origin. Single cell multi-omic data can provide a profile of the perturbational effects, but does not necessarily indicate the initial point of interference within the network. The objective of this project is to take advantage of large scale and genome-wide perturbational datasets by using them to train a tuned machine learning model that is capable of predicting the effects of unseen perturbations in new data. Perturb-Seq datasets are large libraries of …
The Detection Of Putative Recessive Lethal Haplotypes In Irish Sheep Populations, Rory Mcauley
The Detection Of Putative Recessive Lethal Haplotypes In Irish Sheep Populations, Rory Mcauley
ORBioM (Open Research BioSciences Meeting)
In livestock populations, recessive lethal alleles are a known contributor to poor reproductive performance due to embryonic death in homozygous individuals. Despite their lethal effect in the recessive form, these alleles may be maintained at high frequencies among carrier animals because of their positive pleiotropic effects on economically important traits. Although several such recessive alleles have been identified in cattle and pig populations, limited studies have been completed in sheep, and none within Irish sheep populations. Genotype data for 69,034 animals from five major Irish sheep breeds genotyped on a variety of panels was available for this study. Only animals …
Modeling Nonsegmented Negative-Strand Rna Virus (Nnsv) Transcription With Ejective Polymerase Collisions And Biased Diffusion, Felipe-Andres Piedra
Modeling Nonsegmented Negative-Strand Rna Virus (Nnsv) Transcription With Ejective Polymerase Collisions And Biased Diffusion, Felipe-Andres Piedra
Research Symposium
Background: The textbook model of NNSV transcription predicts a gene expression gradient. However, multiple studies show non-gradient gene expression patterns or data inconsistent with a simple gradient. Regarding the latter, several studies show a dramatic decrease in gene expression over the last two genes of the respiratory syncytial virus (RSV) genome (a highly studied NNSV). The textbook model cannot explain these phenomena.
Methods: Computational models of RSV and vesicular stomatitis virus (VSV – another highly studied NNSV) transcription were written in the Python programming language using the Scientific Python Development Environment. The model code is freely available on GitHub: …
Genomic Basis Of Antifreeze Trait Divergence In Antarctic And Patagonian Toothfish, Shriram Bhat
Genomic Basis Of Antifreeze Trait Divergence In Antarctic And Patagonian Toothfish, Shriram Bhat
2023 Midwest Ecology & Evolution Conference
The Dissostichus genus of notothenioid fish contains two giant, iconic sister species, Dissostichus mawsoni (Antarctic toothfish) and Dissostichus eleginoides (Patagonian toothfish), which inhabit thermally distinct environments. D. mawsoni is protected by antifreeze glycoproteins (AFGPs) from freezing in the cold waters of the Southern Ocean, while D. eleginoides lacks detectable antifreeze activity despite its recent divergence. Interestingly, recent evidence suggests the possibility of a third species in the Dissostichus genus, which is currently believed to be a separate population of D. eleginoides closer to the Southern Ocean whose genome has recently been published. Our study focuses on D. eleginoides specimens from …
Identifying Non-Traditional Slippery Sequences Associated With Translational Frameshifts, Aaron J. Gin, Kari Lynn Clase
Identifying Non-Traditional Slippery Sequences Associated With Translational Frameshifts, Aaron J. Gin, Kari Lynn Clase
Graduate Industrial Research Symposium
Genetic frameshifts are a mutation in which
a nucleotide skip leads to a shift in the
reading frame. In viruses, these frameshifts
can be programmed using a slippery
sequence to bypass the stop codon
associated with the initial protein. This
allows for variable control of protein
expression. In bacteriophages, translational
frameshifts have been identified but only a
few have been proven experimentally. Using
experimental data and comparative
genomics, non-traditional slippery
sequences can be identified as assisting in
controlling the protein coding throughout
viruses. Novel slippery sequences can aid in
the understanding of protein expression in
biological environments and further the …
Model-Free Identification Of Relevant Variables From Response Data, Alan Veliz-Cuba, David Murrugarra
Model-Free Identification Of Relevant Variables From Response Data, Alan Veliz-Cuba, David Murrugarra
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Mining Of Producer Recorded Data; Using Beef Calf And Cow Live-Weight Data As A Case Study, Shauna Walsh
Mining Of Producer Recorded Data; Using Beef Calf And Cow Live-Weight Data As A Case Study, Shauna Walsh
ORBioM (Open Research BioSciences Meeting)
Animal live-weight contributes to profitability in beef herds and is a key determinant of overall efficiency of the beef sector. The objective was to develop a novel editing criteria for anomaly detection of beef cow and calf live-weight data. Live-weight data from five sources (i.e., professionally-recorded, owned-scales, borrowed-scales, scales hired from a depot, other) were available from the Irish Cattle Breeding Federation.
A number of alternative methods were used for anomaly detection including: generation of within-herd regression estimates, partial correlations between cow and calf live-weight records and mahalanobis distance. Across each method a value was calculated for each herd based …
Proteomic Analysis Of The Expression Of Masp1 Dragline Silk Protein In E. Coli, Sophie Rae Pazzo, Rajan Amit Patel, Kamrin Athwal, Edward Kim
Proteomic Analysis Of The Expression Of Masp1 Dragline Silk Protein In E. Coli, Sophie Rae Pazzo, Rajan Amit Patel, Kamrin Athwal, Edward Kim
Pacific Undergraduate Research and Creativity Conference (PURCC)
No abstract provided.
Meta-Analysis Of Two Rnaseq Datasets To Determine Diagnostic Biomarkers And Drug Target Candidates For Periodontitis, Carlos Moreno
Meta-Analysis Of Two Rnaseq Datasets To Determine Diagnostic Biomarkers And Drug Target Candidates For Periodontitis, Carlos Moreno
Annual Research Symposium
No abstract provided.
In Silico Identification Of A Streptococcus Phage From An Unpasteurized Dairy Product
In Silico Identification Of A Streptococcus Phage From An Unpasteurized Dairy Product
Symposium of Student Scholars
This study aimed to identify novel phages from a West African dairy product, nunu, to better understand the uncharacterized virosphere of a food microbiome. Nunu is a yogurt-like product from spontaneous fermentation of unpasteurized cow milk without a standardized starter culture. Phages and their bacterial hosts make up a microbiome, where their collective metagenome can be studied in silico, or computationally, after next generation sequencing (NGS). The targeted dataset for our study can be found in the Sequence Read Archives under the accession number of ERX2041567. This study utilized several bioinformatics software tools with customized settings: Kraken2, MetaVelvet, Edena, NCBI-BLAST, …
In Silico Isolation Of A Novel Phage For Food Safety Applications Against Pathogenic E. Coli, Daisy Mcgrath
In Silico Isolation Of A Novel Phage For Food Safety Applications Against Pathogenic E. Coli, Daisy Mcgrath
Symposium of Student Scholars
With the advent of next-generation sequencing (NGS) on metagenomes, the elucidation of all genetic material from microbiomes has prompted a renewed interest towards uncultivated members of the virosphere. We describe the discovery of a novel phage from a metagenomic dataset on the West African fermented dairy product, nunu, with a custom bioinformatics workflow to potentially serve as a biocontrol agent against pathogenic E. coli. Initial dataset of ERR2014814 from NCBI was first subjected to Kraken2 to extract novel sequencing reads for further de novo assembly into contigs by MetaVelvet. Resultant contigs served as potential partial phage genomes, then searched …
Statistical Inference Of Adaptation At Multiple Genomic Scales Using Supervised Classification And A Hidden Markov Model, Lauren A. Sugden
Statistical Inference Of Adaptation At Multiple Genomic Scales Using Supervised Classification And A Hidden Markov Model, Lauren A. Sugden
Biology and Medicine Through Mathematics Conference
No abstract provided.
Sdrap: An Annotation Pipeline For Highly Scrambled Genomes, Jasper Braun
Sdrap: An Annotation Pipeline For Highly Scrambled Genomes, Jasper Braun
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Network Structure And Dynamics Of Biological Systems, Deena R. Schmidt
Network Structure And Dynamics Of Biological Systems, Deena R. Schmidt
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Loop Homology Of Bi-Secondary Structures, Andrei Bura
Loop Homology Of Bi-Secondary Structures, Andrei Bura
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Computations Of Top-Down Attention By Modulating V1 Dynamics, David Berga, Xavier Otazu
Computations Of Top-Down Attention By Modulating V1 Dynamics, David Berga, Xavier Otazu
MODVIS Workshop
The human visual system processes information defining what is visually conspicuous (saliency) to our perception, guiding eye movements towards certain objects depending on scene context and its feature characteristics. However, attention has been known to be biased by top-down influences (relevance), which define voluntary eye movements driven by goal-directed behavior and memory. We propose a unified model of the visual cortex able to predict, among other effects, top-down visual attention and saccadic eye movements. First, we simulate activations of early mechanisms of the visual system (RGC/LGN), by processing distinct image chromatic opponencies with Gabor-like filters. Second, we use a cortical …
Topology And Dynamics Of Gene Regulatory Networks: A Meta-Analysis, Claus Kadelka
Topology And Dynamics Of Gene Regulatory Networks: A Meta-Analysis, Claus Kadelka
Biology and Medicine Through Mathematics Conference
No abstract provided.
A Novel Pathway-Based Distance Score Enhances Assessment Of Disease Heterogeneity In Gene Expression, Yunqing Liu, Xiting Yan
A Novel Pathway-Based Distance Score Enhances Assessment Of Disease Heterogeneity In Gene Expression, Yunqing Liu, Xiting Yan
Yale Day of Data
Distance-based unsupervised clustering of gene expression data is commonly used to identify heterogeneity in biologic samples. However, high noise levels in gene expression data and the relatively high correlation between genes are often encountered, so traditional distances such as Euclidean distance may not be effective at discriminating the biological differences between samples. In this study, we developed a novel computational method to assess the biological differences based on pathways by assuming that ontologically defined biological pathways in biologically similar samples have similar behavior. Application of this distance score results in more accurate, robust, and biologically meaningful clustering results in both …
Exploring The Ipf Lung Through The Lens Of Single Cell Rna Sequencing, Taylor Adams, Jonas Schupp
Exploring The Ipf Lung Through The Lens Of Single Cell Rna Sequencing, Taylor Adams, Jonas Schupp
Yale Day of Data
This poster illustrates the differences between the IPF disease-specific variety of lung macrophages and the two varieties of macrophages known to reside in the normal human lung.
Stochastic Difference Model For Evolutional Dynamics Of Large Antigen Repertoires In African Trypanosomes, Fan Yu
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
The Future Of Biodiversity Assessment: Using Environmental Dna And Next-Generation Sequencing To Characterize Biological Communities In The Central Highlands Of Arizona, Courtney Turner-Rathbone
The Future Of Biodiversity Assessment: Using Environmental Dna And Next-Generation Sequencing To Characterize Biological Communities In The Central Highlands Of Arizona, Courtney Turner-Rathbone
Undergraduate Research Symposium - Prescott
Historically ecological surveys require significant man hours in the field, utilizing methods which can stress species being observed. In using environmental DNA (eDNA) gathered from air, soil, and water, traditional methods may be supplemented or reduced in order to more efficiently utilize funding and reduce or eliminate stress on surveyed species. Water was collected in replicates using aseptic technique from two different sites, 60 miles apart, along the Verde River. Samples were vacuum filtered within 24 hours through 0.45 μm cellulose nitrate (CN) filters to collect eDNA. DNA extraction from the filters was performed. The polymerase chain reaction (PCR) was …
Chromosome Conformation In Context, James Taylor
Chromosome Conformation In Context, James Taylor
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Cage: A Tool For Identifying Genes With Correlated Spatiotemporal Expression, Basheer Becerra
Cage: A Tool For Identifying Genes With Correlated Spatiotemporal Expression, Basheer Becerra
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Study Of Antidepressant Molecular Structure Leading To Safer Dosing, Meera Garg
Study Of Antidepressant Molecular Structure Leading To Safer Dosing, Meera Garg
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Using Mathematical Models Of Biological Processes In Genome-Wide Association Studies Of Psychiatric Disorders, Amy Cochran
Using Mathematical Models Of Biological Processes In Genome-Wide Association Studies Of Psychiatric Disorders, Amy Cochran
Biology and Medicine Through Mathematics Conference
No abstract provided.