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Biochemistry, Biophysics, and Structural Biology Commons

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Full-Text Articles in Biochemistry, Biophysics, and Structural Biology

Langevin Dynamic Models For Smfret Dynamic Shift, David Frost, Keisha Cook Dr, Hugo Sanabria Dr Nov 2023

Langevin Dynamic Models For Smfret Dynamic Shift, David Frost, Keisha Cook Dr, Hugo Sanabria Dr

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.


Using Hyperosmotic Shock To Study The Cell Wall Of Myxococcus Xanthus, Ian Sabol Oct 2023

Using Hyperosmotic Shock To Study The Cell Wall Of Myxococcus Xanthus, Ian Sabol

Harrisburg University Research Symposium: Highlighting Research, Innovation, & Creativity

No abstract provided.


Effects Of Growth Rate On Peptidoglycan Crosslink Density Of E. Coli Using Fluorescent Labeling, Morgan Olszewski Oct 2023

Effects Of Growth Rate On Peptidoglycan Crosslink Density Of E. Coli Using Fluorescent Labeling, Morgan Olszewski

Harrisburg University Research Symposium: Highlighting Research, Innovation, & Creativity

Peptidoglycan (PG) is a polymer composed of polysaccharides and crosslinked peptide chains found in bacterial cell walls. It helps to protect the cell from environmental stress and maintain cell morphology throughout its life cycle and further generations. The PG is made up of two sugars, N-acetyl muramic acid (NAM) and N-acetyl glucosamine (NAG). NAM and NAG are connected by glycosidic linkages to form repeated chains. The chains are formed in layers, which are interconnected via a polypeptide stem linked by a peptide bridge. During cell growth, continuous turnover of existing PG occurs by severing existing crosslinks, inserting new PG into …


Modeling Nonsegmented Negative-Strand Rna Virus (Nnsv) Transcription With Ejective Polymerase Collisions And Biased Diffusion, Felipe-Andres Piedra Sep 2023

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: …