Life Sciences Commons^™

Constrained Sequence Alignment, Kyle Daling

WWU Honors College Senior Projects

Constrained Sequence Alignment: A new algorithm designed to help biologists produce better alignment for protein sequences.

Registration And Grouping Algorithms In Protein Nmr Derived Peak Lists And Their Application In Protein Nmr Reference Correction, Andrey Smelter, Xi Chen, Eric C. Rouchka, Hunter N. B. Moseley

Commonwealth Computational Summit

Nuclear magnetic resonance spectroscopy of proteins (protein NMR) is a powerful analytical technique for studying structure and dynamics of proteins. Almost all aspects of protein NMR have been accelerated by the development of software tools that enable the analysis of NMR spectral data and its utilization in studying protein structure and dynamics. This includes software for raw NMR processing, spectral visualization, protein resonance assignment, and structure determination. However, full automation of protein NMR data analysis is still a work in progress and data analysis still requires an expert NMR spectroscopist utilizing an array of software tools.

While manual resonance assignment …

Identification Of Hydrated And Dehydrated Lipids And Protein Secondary Structures In Seeds Of Cotton (Gossypium Hirsutum) Line, Diwas Kumar Silwal, Nsoki Phambu, Bharat Pokharel, Ahmad Naseer Aziz

Chemistry Faculty Research

Cottonseeds from two parents (TM-1 and 3-79) and their 17 progeny (chromosomal substitution) lines were analyzed for various secondary structures of proteins and moisture content of lipids, separately in hulls and kernels. Fourier transform infrared spectroscopy (FTIR) was used on mature seeds from Upland cotton (G. hirsutum) progeny lines and parents. Based on secondary structures of proteins and hydration levels of lipids, differences were observed among the cottonseeds. The two progeny lines – CS-B12sh and CS-B22sh retained lipid moisture content and protein secondary structures similar to both parents, while CS-B06, CS-B15sh and CS-B16 remained distinct from either parent. On the …

Testing The Independence Hypothesis Of Accepted Mutations For Pairs Of Adjacent Amino Acids In Protein Sequences, Jyotsna Ramanan, Peter Revesz

School of Computing: Faculty Publications

Evolutionary studies usually assume that the genetic mutations are independent of each other. However, that does not imply that the observed mutations are independent of each other because it is possible that when a nucleotide is mutated, then it may be biologically beneficial if an adjacent nucleotide mutates too. With a number of decoded genes currently available in various genome libraries and online databases, it is now possible to have a large-scale computer-based study to test whether the independence assumption holds for pairs of adjacent amino acids. Hence the independence question also arises for pairs of adjacent amino acids within …

A Systematic Investigation Of The Effects Of Chain Length And Ionic Head Group On Perfluoroalkyl Acid Binding To Human Serum Albumin, Jake Ulrich

Honors Theses

Perfluoroalkyl acids (PFAAs) are industrial chemicals used in everyday products ranging from non-stick coatings to fire-fighting foam. PFAAs are contaminants of emerging concern (CECs) and are bioaccumulative, persistent and toxic. Unlike other CECs, PFAAs bioaccumulate in areas of high protein concentration, such as the kidneys, liver and blood; therefore, it is vital to study PFAA-protein interactions. Human Serum Albumin (HSA) is the model protein used for PFAA-protein studies because it is the most abundant protein in the human body and it binds and transports endogenous and exogenous ligands. Previously, researchers have investigated PFAA-HSA binding, but most of these studies have …

Network Exploration Of Correlated Multivariate Protein Data For Alzheimer's Disease Association, Matthew J. Lane

Theses

Alzheimer Disease (AD) is difficult to diagnose by using genetic testing or other traditional methods. Unlike diseases with simple genetic risk components, there exists no single marker determining as to whether someone will develop AD. Furthermore, AD is highly heterogeneous and different subgroups of individuals develop the disease due to differing factors. Traditional diagnostic methods using perceivable cognitive deficiencies are often too little too late due to the brain having suffered damage from decades of disease progression. In order to observe AD at early stages prior to the observation of cognitive deficiencies, biomarkers with greater accuracy are required. By using …

Mutagenic And Spectroscopic Investigation Of Ph Dependent Cooa Dna Binding, Brian R. Weaver

Chemistry Honors Papers

The carbon monoxide (CO) sensing heme protein, CooA, is a transcription factor which exists in several bacteria that utilize CO as an energy source. CooA positively regulates the expression of coo genes in the presence of CO such that the corresponding proteins may metabolize CO. The present studies have yielded the unexpected result that Fe(III) CooA binds DNA tightly at pH < 7, deviating from all previously reported work which indicate that CooA DNA binding is initiated only when the exogenous CO effector reacts with the Fe(II) CooA heme. This observation suggests that the disruption of one or more salt bridges upon effector binding may be a critical feature of the normal CooA activation mechanism. To test this possibility, several protein variants that eliminated a selected salt bridge for the CooA homolog from Rhodospirillum rubrum were prepared via site-directed mutagenesis. Samples of these variant proteins, which were overexpressed in Escherichia coli, were then characterized by spectroscopic methods and functional assays to investigate the impact these mutations had on CooA heme coordination …

An Effective Computational Method Incorporating Multiple Secondary Structure Predictions In Topology Determination For Cryo-Em Images, Abhishek Biswas, Desh Ranjan, Mohammad Zubair, Stephanie Zeil, Kamal Al Nasr, Jing He

Computer Science Faculty Publications

A key idea in de novo modeling of a medium-resolution density image obtained from cryo-electron microscopy is to compute the optimal mapping between the secondary structure traces observed in the density image and those predicted on the protein sequence. When secondary structures are not determined precisely, either from the image or from the amino acid sequence of the protein, the computational problem becomes more complex. We present an efficient method that addresses the secondary structure placement problem in presence of multiple secondary structure predictions and computes the optimal mapping. We tested the method using 12 simulated images from alpha-proteins and …