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Continuous Hierarchical Exploration of Multimedia Collections

Authors: 
T. Grošup, J. Moško, P. Čech
Indexed by WOS: 
Not indexed by WOS
Indexed by SCOPUS: 
Indexed by SCOPUS
Type: 
Proceedings
State: 
Published
Language: 
EN
Conference/Journal name: 
Content-Based Multimedia Indexing (CBMI)
Publisher: 
IEEE
Year: 
2015
Location: 
Prague, Czech republic
ISBN: 
978-1-4673-6870-4

GAUK 201515

Name: 
Using metric indexes for efficient content-based multimedia exploration
Start year: 
2015
End year: 
2017
The multimedia exploration techniques become the most promising trends of the multimedia retrieval, because they allow an intuitive way of accessing the particular content of the multimedia databases. The exploration techniques are useful especially in cases, where traditional methods of data filtering fail or are insufficient.

rPredictor

Type: 
Bioinformatics & Cheminformatics
One line description: 
Infrastructure consisting of tools, a database and web interface that together enable predicting ribosomal RNA secondary structure and analysing it.
Annotation: 
rPredictor is a bioinformatical infrastructure consisting of tools, a database and a web interface that together enable predicting ribosomal RNA secondary structure and analysing it. The predicted structures, their analyses and further details about the rRNA molecules are accessible through this website.
The aim of rPredictor is to develop and deploy a technique of predicting ribosomal RNA secondary structure and make the resulting structural information readily available. At the same time, the rPredictor database contains rich annotations of rRNA structures and the underlying sequences.
The project is being developed at the Faculty of Mathematics and Physics, Charles University in Prague in close cooperation with the bioinformatics laboratory of Microbiology Institute AVČR.
Developers: 
david.hoksza

P2RANK: knowledge-based ligand binding site prediction using aggregated local features

Authors: 
Radoslav Krivák, David Hoksza
Indexed by WOS: 
Indexed by WOS
Indexed by SCOPUS: 
Indexed by SCOPUS
Type: 
Proceedings
State: 
Accepted
Language: 
EN
Conference/Journal name: 
AlCoB
Publisher: 
Springer
Year: 
2015
Pages: 
41-52
Location: 
Mexico City, Mexico
ISBN: 
978-3-319-21232-6

GAUK 174615

Name: 
Adaptive virtual screening
Start year: 
2015
End year: 
2017

Biological screening is used to detect the ability of small molecules to trigger a response in a macromolecular target by binding to it. The main disadvantage of physical screening is its price and the need to own the tested molecules. An alternative to the physicial screening is its in-silico variant - virtual screening (VS). VS commonly takes place in the early stages of drug discovery as a molecular filter before physical screening.

Investigators
Investigator: 
petr.skoda
Investigator role: 
Principal investigator
Investigator: 
jan.jelinek
Investigator role: 
Co-Investigator
Investigator: 
radoslav.krivak
Investigator role: 
Co-Investigator

Improving protein-ligand binding site prediction accuracy by classification of inner pocket points using local features

Authors: 
Radoslav Krivák, David Hoksza
Indexed by WOS: 
Indexed by WOS
Indexed by SCOPUS: 
Indexed by SCOPUS
Type: 
Journal
State: 
Published
Language: 
EN
Conference/Journal name: 
Journal of Cheminformatics
Publisher: 
Chemistry Central
Year: 
2015
Volume: 
7
Issue: 
1
ISSN: 
1758-2946

Target-Oriented Generic Fingerprint-Based Molecular Representation

Authors: 
Petr Škoda, David Hoksza
Indexed by WOS: 
Not indexed by WOS
Indexed by SCOPUS: 
Not indexed by SCOPUS
Type: 
Proceedings
State: 
Published
Language: 
EN
Conference/Journal name: 
CSEIT
Publisher: 
Computer Science & Information Technology (CS & IT)
Year: 
2014
ISSN: 
2231-5403

GAČR 15-00885S

Name: 
Novel methods for computational prediction and visualization of secondary structures of ribosomal ribonucleic acids - an integrated solution
Start year: 
2015
End year: 
2017
Ribosomal ribonucleic acid (rRNA) is essential for the proteins synthesis, one of the most basic biological processes. To understand its mechanisms, the knowledge of the rRNA structure is required as it forms the structural core of the protein synthesizing unit, the ribosome. Experimental identification of rRNA structure is extremely technically difficult. Secondary structure, a simplified structural model, can be predicted, but prediction for rRNAs is hindered by extreme length of rRNA sequences. Thus, only few eukaryotic rRNA structures are available so far.
Investigators
Investigator: 
david.hoksza
Investigator role: 
Co-Investigator

GAČR 15-08916S

Name: 
Efficient subgraph discovery for petabyte-scale web analysis
Start year: 
2015
End year: 
2017

The study of network behaviors without packet content inspection is becoming of increasing concern in context of network administration and security. Recent years observe an increasing demand for machine learning algorithms on graphs, since modeling interactions between entities by graphs is natural in context of large computer networks. A promising approach to modeling graphs that leverages the advantages of machine learning techniques is based on the so-called ``graphlets'', that provide embedding of graph fragments into vector spaces.

Investigators
Investigator: 
jakub.lokoc
Investigator role: 
Principal investigator
Investigator: 
tomas.skopal
Investigator role: 
Team member
Investigator: 
premek.cech
Investigator role: 
Team member

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