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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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In silico design and validation of conotoxin-based peptides for neuroblastoma nanotherapy
Mokrý, Michal ; Gumulec, Jaromír (referee) ; Heger, Zbyněk (advisor)
Práca sa zaoberá in silico dizajnom a validáciou peptidov založených na konotoxíne - MrIA, izolovaného z morských slimákov druhu Conus marmoreus a možnosti využitia týchto peptidov v liečbe neuroblastómu pomocou cielenia norepinefrínového transportéru. Päť peptidov založených na tomto konotoxíne bolo simulovaných pomocou simulácii molekulárnej dynamiky, ich trajektórie boli analyzované pre zistenie vlastností týchto peptidov. Dva homologické modely ľudského norepinefrínového transportéru boli vytvorené pre analýzu väzobných vlastností peptidov založených na konotoxíne ku norepinefrínovému transportéru. Peptidy boli následne syntetizované a použité na pokrytie apoferitínových nanočastíc s elipticínom uväzneným vnútri apoferitínu. Vytvorené peptidy a nanočastice boli ďalej skúmané pre objasnenie ich fyzikálo-chemických vlastností. Interakcie a cytotoxicita boli skúmané aplokáciou nanočastíc na bunky neuroblastómu a epitelu. Z in silico a in vitro analýz vyšiel YKL-6 peptid ako najlepší kandidát na ďalší výskum.
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In silico design and validation of conotoxin-based peptides for neuroblastoma nanotherapy
Mokrý, Michal ; Gumulec, Jaromír (referee) ; Heger, Zbyněk (advisor)
Práca sa zaoberá in silico dizajnom a validáciou peptidov založených na konotoxíne - MrIA, izolovaného z morských slimákov druhu Conus marmoreus a možnosti využitia týchto peptidov v liečbe neuroblastómu pomocou cielenia norepinefrínového transportéru. Päť peptidov založených na tomto konotoxíne bolo simulovaných pomocou simulácii molekulárnej dynamiky, ich trajektórie boli analyzované pre zistenie vlastností týchto peptidov. Dva homologické modely ľudského norepinefrínového transportéru boli vytvorené pre analýzu väzobných vlastností peptidov založených na konotoxíne ku norepinefrínovému transportéru. Peptidy boli následne syntetizované a použité na pokrytie apoferitínových nanočastíc s elipticínom uväzneným vnútri apoferitínu. Vytvorené peptidy a nanočastice boli ďalej skúmané pre objasnenie ich fyzikálo-chemických vlastností. Interakcie a cytotoxicita boli skúmané aplokáciou nanočastíc na bunky neuroblastómu a epitelu. Z in silico a in vitro analýz vyšiel YKL-6 peptid ako najlepší kandidát na ďalší výskum.
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Molecular dynamics simulations of ion channel TRPA1
Zíma, Vlastimil ; Barvík, Ivan (advisor) ; Ettrich, Rüdiger (referee) ; Martínek, Václav (referee)
Title: Molecular dynamics simulations of ion channel TRPA1 Author: Mgr. Vlastimil Zíma Institute: Institute of Physics of Charles University Supervisor: RNDr. Ivan Barvík, PhD., Institute of Physics of Charles Uni- versity Abstract: The ion channel TRPA1 is one of the members of the transient receptor potential channel family. These channels have recently been an im- portant objective of research, because they play important roles in various cellular processes and organismic mechanisms. Especially they are involved in most of the senses. We focused mainly on the TRPA1 ion channel due to its involvement in the pain sensation in humans. Because the molecular mechanisms behind the gating of this channel are not fully understood, their description is a key for a design of new analgesics targeting this channel. We used a homology modeling and molecular dynamics simulations in conjunc- tion with electrophysiological experiments to provide a valuable new insight into the channel mechanisms. We contributed by describing of a putative binding site for calcium ions. Further, many functionally important amino acids were found in the S1-S4 transmembrane domain. Keywords: voltage-gated ion channel, TRPA1 channel, molecular dynamics, homology modeling 1
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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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