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Person
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doc. RNDr. David Hoksza Ph.D.
Academic staff at Faculty of Mathematics and Physics
2 study programmes
4 classes
97 publications
Study programme
programme
Bioinformatics and computational biology
+1
🇨🇿 PhD. |
Faculty of Mathematics and Physics
Classes
class
Data Visualization Techniques
NDBI042 |
Faculty of Mathematics and Physics
class
Algorithms, databases and tools in bioinformatics
NDBI044 |
Faculty of Mathematics and Physics
class
Project in bioinformatics
NPRG061 |
Faculty of Mathematics and Physics
class
Doctoral bioinformatics seminar
NSWI201 |
Faculty of Mathematics and Physics
Publications
publication
Framework for knowledge-based prediction of protein-protein interaction sites
2018 |
Faculty of Mathematics and Physics
publication
P2Rank: machine learning based tool for rapid and accurate prediction of ligand binding sites from protein structure
2018 |
Faculty of Mathematics and Physics
publication
Platform for ligand-based virtual screening integration
2017 |
Faculty of Mathematics and Physics
publication
TRAVeLer: a tool for template-based RNA secondary structure visualization
2017 |
Faculty of Mathematics and Physics
publication
P2RANK: knowledge-based ligand binding site prediction using aggregated local features
2015 |
Faculty of Mathematics and Physics
publication
Activity-driven exploration of chemical space with morphing
2015 |
Faculty of Mathematics and Physics
publication
Molpher: a software framework for systematic chemical space exploration
2013 |
Faculty of Mathematics and Physics
publication
MulitSETTER
Publication without faculty affiliation
publication
Molpher
Publication without faculty affiliation
publication
Traveler
Publication without faculty affiliation
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