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parazitismus
Person
Class
Person
Publication
Programmes
Mgr. Marian Novotný Ph.D.
Academic staff at Faculty of Science
1 study programme
10 classes
33 publications
Study programme
programme
Bioinformatics
🇨🇿 Bc. |
Faculty of Science
Classes
class
Meet-U
MB100P06 |
Faculty of Science
class
The basis of Bioinformatics
MB150P88 |
Faculty of Science
class
The basics of Bioinformatics
MB150P88E |
Faculty of Science
class
Bioinformatical databases and application
MB151P101 |
Faculty of Science
class
4EU+ Deep Learning for Life Sciences (DeepLife)
MB151P143 |
Faculty of Science
class
Bioinformatics - seminar
+3
MB151S01 |
Faculty of Science
class
Structural basics of cell biology
MBCPLUS003 |
Faculty of Science
Publications
publication
Cryptic binding site prediction with protein language models
2023 |
Faculty of Science, Faculty of Mathematics and Physics
publication
Divergent evolution drives high diversity of toll-like receptors (TLRs) in passerine birds: Buntings and finches
2023 |
Faculty of Science
publication
PrankWeb 3: accelerated ligand-binding site predictions for experimental and modelled protein structures
2022 |
Faculty of Science, Faculty of Mathematics and Physics
publication
AHoJ: rapid, tailored search and retrieval of apo and holo protein structures for user-defined ligands
2022 |
Faculty of Science, Faculty of Mathematics and Physics
publication
Secondary Structures of Proteins Follow Menzerath-Altmann Law
2022 |
Faculty of Science
publication
DisProt in 2022: improved quality and accessibility of protein intrinsic disorder annotation
2022 |
Faculty of Science
publication
Positive selection and convergent evolution shape molecular phenotypic traits of innate immunity receptors in tits (Paridae)
2020 |
Faculty of Science
publication
Triplet-pore structure of a highly divergent TOM complex of hydrogenosomes in Trichomonas vaginalis
2019 |
Faculty of Science, First Faculty of Medicine
publication
PrankWeb: a web server for ligand binding site prediction and visualization
2019 |
Faculty of Science, Faculty of Mathematics and Physics
publication
Towards universal platform for protein binding site prediction
2018 |
Faculty of Science, Faculty of Mathematics and Physics
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