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Web Server for Protein Structure Prediction
Votroubek, Lukáš ; Očenášek, Pavel (referee) ; Burgetová, Ivana (advisor)
This work deals with proteins, especially with their structure and kinds of tertiary, or 3D, structure prediction. Tertiary structure prediction is very important for function prediction of this vitally important substance. Bioinformatics do this prediction much more effective and faster, because classical methods of structure prediction directly from molecule are very expensive and slow. On the other hand they are much more exact. Objective of this thesis is to describe tertiary structure prediction methods, describe used tools and possibility of automatic communication with them. Next objective is describe implementation of server, that will serve to protein engineers for more effective finding of information about tertiary structure from more servers without requesting each of them separately. Results of testing will be described in this work too.
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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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Effects of phosphorylation on 3D conformation of proteins
Tomčalová, Brenda ; Novotný, Marian (advisor) ; Vymětal, Jiří (referee)
Phosphorylation is one of the most ubiquitous posttranslational modification types. Understanding of itsfunction and regulation has significant impact on diagnosis and treatment of many diseases. This thesis presents and summarizes the results of several publications that analyze phosphorylation on large datasets using bioinformatics tools. In this thesis the general principles how the phosphorylation influences physico-chemical properties of proteins are described. In the first and the second chapter the evolution principles, function and regulation of protein kinases and phosphatases are provided. In the third chapter thesis concentrates on the distributions of phosphorylated sites among organisms (plants and animals). In the last chapter current knowledge of orthosteric and allosteric effects of phosphorylation as well as its effects on 2D and 3D structure of phosphorylated proteins is summarized.
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Template-based RNA tertiary structure prediction
Galvánek, Rastislav ; Hoksza, David (advisor) ; Jelínek, Jan (referee)
The thesis deals with proposal, implementation and testing of a new algorithm for homologous tertiary RNA structure prediction, which means using a structure similar to the template. It focuses on the possibility of large RNA structures prediction in reasonable time and precision. The algorithm is based on copying conserved parts of template structure into the target structure. The unconserved parts are then predicted by an existing ab initio algorithm. The thesis is divided into four chapters. The first one contains basic information about RNA and its importance. The second one describes different ways of RNA prediction and it contains an overwiev of currently available prediction methods. The third one describes the invented algorithm and the fourth one presents achieved results.
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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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Web Server for Protein Structure Prediction
Votroubek, Lukáš ; Očenášek, Pavel (referee) ; Burgetová, Ivana (advisor)
This work deals with proteins, especially with their structure and kinds of tertiary, or 3D, structure prediction. Tertiary structure prediction is very important for function prediction of this vitally important substance. Bioinformatics do this prediction much more effective and faster, because classical methods of structure prediction directly from molecule are very expensive and slow. On the other hand they are much more exact. Objective of this thesis is to describe tertiary structure prediction methods, describe used tools and possibility of automatic communication with them. Next objective is describe implementation of server, that will serve to protein engineers for more effective finding of information about tertiary structure from more servers without requesting each of them separately. Results of testing will be described in this work too.
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