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Daniel Svozil
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- affiliation: University of Chemistry and Technology Prague, Czech Republic
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2020 – today
- 2021
- [j19]Ivan Cmelo, Milan Vorsilák, Daniel Svozil:
Profiling and analysis of chemical compounds using pointwise mutual information. J. Cheminformatics 13(1): 3 (2021) - [j18]Martin Sícho, Xuhan Liu, Daniel Svozil, Gerard J. P. van Westen:
GenUI: interactive and extensible open source software platform for de novo molecular generation and cheminformatics. J. Cheminformatics 13(1): 73 (2021) - 2020
- [j17]Conrad Stork, Gerd Embruch, Martin Sícho, Christina de Bruyn Kops, Ya Chen, Daniel Svozil, Johannes Kirchmair:
NERDD: a web portal providing access to in silico tools for drug discovery. Bioinform. 36(4): 1291-1292 (2020) - [j16]Milan Vorsilák, Michal Kolár, Ivan Cmelo, Daniel Svozil:
SYBA: Bayesian estimation of synthetic accessibility of organic compounds. J. Cheminformatics 12(1): 35 (2020) - [j15]Ctibor Skuta, Isidro Cortes-Ciriano, Wim Dehaen, Pavel Kríz, Gerard J. P. van Westen, Igor V. Tetko, Andreas Bender, Daniel Svozil:
QSAR-derived affinity fingerprints (part 1): fingerprint construction and modeling performance for similarity searching, bioactivity classification and scaffold hopping. J. Cheminformatics 12(1): 39 (2020) - [j14]Isidro Cortés-Ciriano, Ctibor Skuta, Andreas Bender, Daniel Svozil:
QSAR-derived affinity fingerprints (part 2): modeling performance for potency prediction. J. Cheminformatics 12(1): 41 (2020)
2010 – 2019
- 2019
- [j13]Martin Sícho, Conrad Stork, Angelica Mazzolari, Christina de Bruyn Kops, Alessandro Pedretti, Bernard Testa, Giulio Vistoli, Daniel Svozil, Johannes Kirchmair:
FAME 3: Predicting the Sites of Metabolism in Synthetic Compounds and Natural Products for Phase 1 and Phase 2 Metabolic Enzymes. J. Chem. Inf. Model. 59(8): 3400-3412 (2019) - 2018
- [j12]Martin Sícho, Milan Vorsilák, Daniel Svozil:
Comment on "The power metric: a new statistically robust enrichment-type metric for virtual screening applications with early recovery capability". J. Cheminformatics 10(1): 13:1-13:2 (2018) - 2017
- [j11]Milan Vorsilák, Daniel Svozil:
Nonpher: computational method for design of hard-to-synthesize structures. J. Cheminformatics 9(1): 20:1-20:7 (2017) - [j10]Martin Sícho, Christina de Bruyn Kops, Conrad Stork, Daniel Svozil, Johannes Kirchmair:
FAME 2: Simple and Effective Machine Learning Model of Cytochrome P450 Regioselectivity. J. Chem. Inf. Model. 57(8): 1832-1846 (2017) - 2015
- [j9]Petr Cech, David Hoksza, Daniel Svozil:
MultiSETTER: web server for multiple RNA structure comparison. BMC Bioinform. 16: 253:1-253:8 (2015) - [j8]David Hoksza, Daniel Svozil:
Multiple 3D RNA Structure Superposition Using Neighbor Joining. IEEE ACM Trans. Comput. Biol. Bioinform. 12(3): 520-530 (2015) - [c4]Martin Sícho, Daniel Svozil, David Hoksza:
Activity-driven exploration of chemical space with morphing. BIBM 2015: 1024-1031 - 2014
- [j7]David Hoksza, Petr Skoda, Milan Vorsilák, Daniel Svozil:
Molpher: a software framework for systematic chemical space exploration. J. Cheminformatics 6(1): 7 (2014) - [j6]Ctibor Skuta, Petr Bartunek, Daniel Svozil:
InCHlib - interactive cluster heatmap for web applications. J. Cheminformatics 6(1): 44 (2014) - 2013
- [j5]Petr Cech, Jaromír Kukal, Jirí Cerný, Bohdan Schneider, Daniel Svozil:
Automatic workflow for the classification of local DNA conformations. BMC Bioinform. 14: 205 (2013) - [c3]David Hoksza, Peter Szépe, Daniel Svozil:
MultiSETTER - Multiple RNA Structure Similarity Algorithm. BSB 2013: 59-70 - 2012
- [j4]David Hoksza, Daniel Svozil:
Efficient RNA pairwise structure comparison by SETTER method. Bioinform. 28(14): 1858-1864 (2012) - [j3]Petr Cech, Daniel Svozil, David Hoksza:
SETTER: web server for RNA structure comparison. Nucleic Acids Res. 40(Web-Server-Issue): 42-48 (2012) - 2011
- [c2]David Hoksza, Daniel Svozil:
Exploration of Chemical Space by Molecular Morphing. BIBE 2011: 201-208 - [c1]David Hoksza, Daniel Svozil:
SETTER - RNA SEcondary sTructure-based TERtiary Structure Similarity Algorithm. ISBRA 2011: 37-48
1990 – 1999
- 1997
- [j2]Daniel Svozil, Jirí G. K. Sevvík, Vladimir Kvasnicka:
Neural Network Prediction of the Solvatochromic Polarity/Polarizability Parameter PiH2[S_EL2;quad] . J. Chem. Inf. Comput. Sci. 37(2): 338-342 (1997) - 1995
- [j1]Daniel Svozil, Jiri Pospichal, Vladimir Kvasnicka:
Neural Network Prediction of Carbon-13 NMR Chemical Shifts of Alkanes. J. Chem. Inf. Comput. Sci. 35(5): 924-928 (1995)
Coauthor Index
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