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The endogen steroid hormone 17b-estradiol is a central player in a wide range of physiologic, behavioral processes and diseases in vertebrates. As a consequence, it is a main target for molecular design and drug discovery efforts in medicine and environmental sciences, which requires in-depth knowledge of protein-ligand binding processes. This work develops a bioinformatic framework based on local and global structure similarity for the characterization of E2-protein interactions in all 35 publicly available three-dimensional structures of estradiol-protein complexes. Subsequently, it uses gained data to identify four geometrically conserved estradiol binding residue motifs, against which the Protein Data Bank is queried. As result of this database query, 15 hits present in seven protein structures are found. Five of these structures do not contain E2 as ligand and had thus not been included in this work’s initial data set. One of these newly detected structures is structurally and functionally dissimilar, as well as evolutionarily distant from all other proteins analyzed in this work. Nevertheless, the ability of this protein to actually bind estradiol must be further analyzed. Finally, geometrically conserved E2-protein interactions are identified and a new research direction using these conserved interaction ensembles for the detection of novel estradiol targets is proposed.
Brassica oleracea like all crucifers plants have a defense mechanism against natural enemies, which are chemical compounds formed form the enzymatic degradation of glucosinolates. In the presence of epithiospecifier proteins (ESP), the hydrolysis of glucosinolates will form epithionitriles or nitriles depending on the glucosinolate structure, This research proved that three predicted sequences (ESP) taken from NCBI database has a role in the enzymatic hydrolysis of glucosinolates in Brassica oleracea.
The following is a description and outline of the work done at the Cornell Lab of Ornithology developing Nation Feathers VR, a virtual reality game for learning about bird calls and songs. The goal was to develop a game which is intuitive, educational and entertaining. Furthermore, the software needed to be structured in a way that allows for feasible future expansion. This required careful data saving and retrieval. The game gives the player an opportunity to learn and apply that knowledge, all while maintaining a shorter runtime in order to reduce the total time spent in the virtual world. This is meant to prevent any discomfort to the player that may result from extended use of the VR headset.
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Obesity is a major public health issue in many countries and its development leads to many severe conditions. Adipose tissue (AT) simply called fat, in males visceral adipose tissues (VAT) are dominant. Estrogens play an important role in many pathological processes.
In this study, one of the subtypes of the estrogen receptor ER-beta is activated using KB (Specific ligand) treatment on VAT.
In this study, I investigated the metabolism effectof KB treatment on VAT using bioinformatics methods.
In this thesis study, I applied several bioinformatics methods such as differential expression gene analysis, pathway analysis, RNA splicing analysis and SNPs callings to make the prediction of the effect of KB treatment on VAT. A list of candidate genes, pathways and SNPs were identified in this study, which could provide some clues to reveal the genetic mechanism underlying the KB treatment effect. The results of my study show that the KB treatment on VAT has caused significant effect.
This thesis proposes a solution to the practical problem of supervising relatively basic mechanic processes in robotics by means of computervision. Supervision happens by comparing the tracked movement with a known, ideal recording of the movement that acts as a model.
First, this thesis analyzes possible approaches to the problem regarding data structures and representation, ways of extracting the data from the recording and ways to compare the data sets of two recordings. Then, a specific solution is implemented in C++ and explained.
The Blockchain is a technology which has the capabilities to change the way, the world operates. As promising as this may be, there are still many challenges which do not exist or are way simpler to solve in conventional software solutions. Services which are offered over the blockchain suffer from so called Block-confirmation-times where the customer simply has to wait till the transaction is confirmed. In this paper possible solutions to that problem will be examined and challenges that arise from the specific criteria of the Ethereum Blockchain will be analyzed.