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Prediction of the Effect of Mutation on Protein Solubility
Velecký, Jan ; Martínek, Tomáš (referee) ; Hon, Jiří (advisor)
The goal of the thesis is to create a predictor of the effect of a mutation on protein solubility given its initial 3D structure. Protein solubility prediction is a bioinformatics problem which is still considered unsolved. Especially a prediction using a 3D structure has not gained much attention yet. A relevant knowledge about proteins, protein solubility and existing predictors is included in the text. The principle of the designed predictor is inspired by the Surface Patches article and therefore it also aims to validate the results achieved by its authors. The designed tool uses changes of positive regions of the electric potential above the protein's surface to make a prediction. The tool has been successfully implemented and series of computationally expensive experiments have been performed. It was shown that the electric potential, hence the predictor itself too, can be successfully used just for a limited set of proteins. On top of that, the method used in the article correlates with a much simpler variable - the protein's net charge.
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Study of DNA hydration by analysis of structural data from databases
Šrůtková, Alžběta ; Schneider, Bohdan (advisor) ; Hoksza, David (referee)
The deoxyribonucleic acids play an essential role in the living organisms by storing the genetic information. The process of the genetic information transfer, translation and transcription is carried out by other molecules, mostly proteins, which cause DNA bend and locally deform. These protein-DNA interactions, together with the nucleotide sequence, result in different DNA conformations. The description and classification of the DNA local structural diversity at a level of dinucleotides is provided by so-called dinucleotide conformer classes, NtC. The NtC classification system developed for description of the local conformations of nucleic acids consists of 97 NtC classes. In this work we use 44 classes important for the description of DNA conformations. All biomolecules, including DNA are heavily hydrated. The first hydration layer around DNA is largely localized. The structure of this hydration layer depends on the sequence and conformation of the analyzed biomolecule. The DNA structural classification by the NtC classes allows specific study of the first hydration layer with a sufficient sequence and structural granularity. Based on the data available in the structural databases, we studied hydration of double helical tetranucleotide fragments in the three biologically most important DNA conformational...
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Structure- and sequence-based identification of functionally important amino acids in a protein family
Peclinovská, Iveta ; Novotný, Marian (advisor) ; Pleskot, Roman (referee)
A group of small GTPases consist of over twenty protein families in the super class P-loop. It has a very diverse cell functions. Small GTPases regulate the formation of vesicular follicles, cytoskeleton and nuclear transport. They participate also on cell proliferation and signaling. The aim of my work is to find important amino acids that define family and distinguish each other. I focus on families Arf, Rab, Ran, Ras and Rho. At the Rho family I am also devoted to classes Rho, Rac and Cdc42. Amino acids are identified using bioinformatic programs selected Consurf and Sca5. The objective is also to test P2RANK specialized tool developed at the Charles University in Prague that predict ligand binding sites from protein structure in different families. Founding amino acids can have a big role in the functional divergence of individual families and classes of small GTPases and can be the basis for future study example for the proliferation of cancerous cells. 1.1 Keywords Powered by TCPDF (www.tcpdf.org)
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Bioinformatics Tool for Protein Structure Prediction
Plaga, Michal ; Burgetová, Ivana (referee) ; Martínek, Tomáš (advisor)
The goal of this thesis is test and comparation of the offline tools for prediction of protein structure and creation of metaprediktor, which allows the user to select the appropriate tool, according to given parameters. Testing tool is based on a dataset of proteins, which is based on the SCOP database and it is trying to be as balanced as possible to include proteins from different families and thus could best evaluate individual tools. The results of this thesis are requirements of metaprediktor and also which data and settings can be allowed and processed and how it will be implemented.
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Geometry of protein moleculs
Novotný, Jan ; Maděránková, Denisa (referee) ; Škutková, Helena (advisor)
Objective of this work was to study the spatial arrangement of protein molecules, with their extraction, notations and variables used in the course descriptions. Prediction of protein structures is very important for determining the future function of proteins. Another objective was to create a function in MATLAB that will graphically represent the spatial arrangement of the backbone structure of the protein by form Ramachandran plot. Along with this function create another function to render the side-chains of amino acids and function to calculate the stereochemical quality. Finally, create a program for a complete assessment of the spatial arrangement of the protein molecules and calculating the stereochemical quality of and test program for protein structures from public databases RSCB PDB.
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Analysis of Protein Structure Visualisation Tools
Klemšová, Jarmila ; Jaša, Petr (referee) ; Burgetová, Ivana (advisor)
In this thesis we analyze several tools for protein structure visualisation. We describe the structure of the proteins, the databases for storing protein structures and their data formats. Next part of the thesis, provides detailed information about selected visualisation tools and some scripts for them. The thesis also include an example of visualisation of the selected protein.
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Attributes Calculating for Prediction of Effects of Mutation on Protein Function
Matějíček, Jiří ; Burgetová, Ivana (referee) ; Jaša, Petr (advisor)
This bachelor thesis deals with the bioinformatics techniques for the acquisition of attributes useful for prediction of mutation effects on the protein function. The work primarily aims to develop a user-friendly application for calculation of attributes of mutations from the protein sequence and structure. The developed application serves for integration of specialized tools such as FoldX. The standardized interface enables to implement additional computational tools and collect a diverse set of attributes from different sources. These attribute sets can then serve as an input for different prediction methods and help to improve predictions of mutation effects.
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Protein Structure Prediction
Tuček, Jaroslav ; Martínek, Tomáš (referee) ; Burgetová, Ivana (advisor)
This work describes the three dimensional structure of protein molecules and biological databases used to store information about this structure or its hierarchical classification. Current methods of computational structure prediction are overviewed with an emphasis on comparative modeling. This particular method is also implemented in a proof-of-concept program and finally, the implementation is analysed.
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Techniques for Comparing Biological Sequences
Sladký, Roman ; Křivka, Zbyněk (referee) ; Burgetová, Ivana (advisor)
This work presents the building up of basic biological units DNA, RNA and proteins as well as their function. Provided data are kept in biological databases which are connected worldwide to supply preferable communication along with all kinds of available information to be used in the scientific research. The secret of alive is hidden in genes coded in sequences of nucleotides. Genes enable the creation of proteins which are made of sequences of amino-acids. The wide-spread methods of comparing these sequences are FASTA and BLAST algorithms. Their base is used for the PSProt program which is described in this work. PSProt program is the tool for comparing the sequences of proteins. First it is necessary to synthesise the protein from the DNA oligonucleotide because it codes the surveyed protein. The most similar proteins are searched out by heuristic of hitpoints, then their final score that is essential for aligning is modified by semiglobal alignment algorithm.
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