Search results

  1. 1.
    0555982 - ÚMG 2023 RIV US eng J - Journal Article
    Příhoda, D. - Maamary, J. - Waight, A. - Juan, V. - Fayadat-Dilman, L. - Svozil, Daniel - Bitton, D.
    BioPhi: A platform for antibody design, humanization, and humanness evaluation based on natural antibody repertoires and deep learning.
    MAbs. Roč. 14, č. 1 (2022), č. článku e2020203. ISSN 1942-0862. E-ISSN 1942-0870
    R&D Projects: GA MŠMT(CZ) LM2018130
    Institutional support: RVO:68378050
    Keywords : Antibody humanization * humanness * human-likeness * immunogenicity * deimmunization * immune repertoires * machine learning * deep learning
    OECD category: Biochemical research methods
    Impact factor: 5.3, year: 2022
    Method of publishing: Open access
    https://www.tandfonline.com/doi/full/10.1080/19420862.2021.2020203
    Permanent Link: http://hdl.handle.net/11104/0330851
     
     
  2. 2.
    0555872 - FGÚ 2023 RIV GB eng J - Journal Article
    Štefková-Mazochová, K. - Danda, H. - Dehaen, W. - Jurásek, B. - Šíchová, K. - Pinterová-Leca, N. - Mazoch, V. - Hrčka Krausová, Barbora - Kysilov, Bohdan - Smejkalová, Tereza - Vyklický ml., Ladislav - Kohout, M. - Hájková, K. - Svozil, Daniel - Horsley, R. R. - Kuchař, M. - Páleníček, T.
    Pharmacokinetic, pharmacodynamic, and behavioural studies of deschloroketamine in Wistar rats.
    British Journal of Pharmacology. Roč. 179, č. 1 (2022), s. 65-83. ISSN 0007-1188. E-ISSN 1476-5381
    R&D Projects: GA ČR(CZ) GA20-17945S; GA MZd(CZ) EF16_025/0007444; GA MŠMT(CZ) LM2018130
    Research Infrastructure: CZ-OPENSCREEN III - 90130
    Institutional support: RVO:67985823 ; RVO:68378050
    Keywords : deschloroketamine * enantiomers * locomotion * NMDA receptor * pharmacokinetics * pharmacokinetics
    OECD category: Pharmacology and pharmacy
    Impact factor: 7.3, year: 2022
    Method of publishing: Open access
    https://doi.org/10.1111/bph.15680
    Permanent Link: http://hdl.handle.net/11104/0330327
     
     
  3. 3.
    0555488 - ÚMG 2022 RIV GB eng J - Journal Article
    Šícho, M. - Liu, X. - Svozil, Daniel - van Westen, G.J.P.
    GenUI: interactive and extensible open source software platform for de novo molecular generation and cheminformatics.
    Journal of Cheminformatics. Roč. 13, č. 1 (2021), č. článku 73. ISSN 1758-2946. E-ISSN 1758-2946
    R&D Projects: GA MŠMT(CZ) LM2018130
    Research Infrastructure: CZ-OPENSCREEN III - 90130
    Institutional support: RVO:68378050
    Keywords : Graphical user interface * De novo drug design * Molecule generation * Deep learning * Web application
    OECD category: Biochemistry and molecular biology
    Impact factor: 8.489, year: 2021
    Method of publishing: Open access
    https://jcheminf.biomedcentral.com/articles/10.1186/s13321-021-00550-y
    Permanent Link: http://hdl.handle.net/11104/0329996
     
     
  4. 4.
    0554542 - ÚMG 2022 RIV GB eng J - Journal Article
    Čmelo, I. - Voršilák, Milan - Svozil, Daniel
    Profiling and analysis of chemical compounds using pointwise mutual information.
    Journal of Cheminformatics. Roč. 13, č. 1 (2021), č. článku 3. ISSN 1758-2946. E-ISSN 1758-2946
    R&D Projects: GA MŠMT(CZ) LM2018130
    Research Infrastructure: CZ-OPENSCREEN III - 90130
    Institutional support: RVO:68378050
    Keywords : Hashed fingerprint * Structural key * Information theory * Pointwise mutual information * Synthetic accessibility
    OECD category: Biochemistry and molecular biology
    Impact factor: 8.489, year: 2021
    Method of publishing: Open access
    https://jcheminf.biomedcentral.com/articles/10.1186/s13321-020-00483-y
    Permanent Link: http://hdl.handle.net/11104/0329252
     
     
  5. 5.
    0539814 - ÚMG 2021 RIV GB eng J - Journal Article
    Škuta, Ctibor - Cortes-Ciriano, I. - Dehaen, W. - Kříž, P. - van Westen, G.J.P. - Tetko, I. V. - Bender, A. - Svozil, Daniel
    QSAR-derived affinity fingerprints (part 1): fingerprint construction and modeling performance for similarity searching, bioactivity classification and scaffold hopping.
    Journal of Cheminformatics. Roč. 12, č. 1 (2020), č. článku 39. ISSN 1758-2946. E-ISSN 1758-2946
    Institutional support: RVO:68378050
    Keywords : Affinity fingerprint * Biological fingerprint * qsar * Similarity searching * Bioactivity modeling * Scaffold hopping
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    Impact factor: 5.514, year: 2020
    Method of publishing: Open access
    https://jcheminf.biomedcentral.com/articles/10.1186/s13321-020-00443-6
    Permanent Link: http://hdl.handle.net/11104/0317517
     
     
  6. 6.
    0538137 - ÚMG 2021 RIV GB eng J - Journal Article
    Cortes-Ciriano, I. - Škuta, Ctibor - Bender, A. - Svozil, Daniel
    QSAR-derived affinity fingerprints (part 2): modeling performance for potency prediction.
    Journal of Cheminformatics. Roč. 12, č. 1 (2020), č. článku 41. ISSN 1758-2946. E-ISSN 1758-2946
    R&D Projects: GA MŠMT LM2015063
    Institutional support: RVO:68378050
    Keywords : qsar * Affinity fingerprints * ChEMBL * Bioactivity modeling * Cytotoxicity * Drug sensitivity prediction * Drug sensitivity
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    Impact factor: 5.514, year: 2020
    Method of publishing: Open access
    https://jcheminf.biomedcentral.com/articles/10.1186/s13321-020-00444-5
    Permanent Link: http://hdl.handle.net/11104/0315960
     
     
  7. 7.
    0531356 - ÚMG 2021 RIV GB eng J - Journal Article
    Voršilák, Milan - Kolář, Michal - Čmelo, I. - Svozil, Daniel
    SYBA: Bayesian estimation of synthetic accessibility of organic compounds.
    Journal of Cheminformatics. Roč. 12, č. 1 (2020), č. článku 35. ISSN 1758-2946. E-ISSN 1758-2946
    R&D Projects: GA MŠMT(CZ) EF16_019/0000785; GA MŠMT(CZ) LM2018130
    Institutional support: RVO:68378050
    Keywords : Synthetic accessibility * Bayesian analysis * Bernoulli naive Bayes
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    Impact factor: 5.514, year: 2020
    Method of publishing: Open access
    https://jcheminf.biomedcentral.com/articles/10.1186/s13321-020-00439-2
    Permanent Link: http://hdl.handle.net/11104/0310029
     
     
  8. 8.
    0502627 - ÚMG 2019 RIV CZ cze J - Journal Article
    Voršilák, Milan - Svozil, Daniel
    Odhadování syntetické dostupnosti při počítačovém návrhu léčiv.
    [Estimation of Synthetic Accessibility during Computational Drug Design.]
    Chemické listy. Roč. 111, č. 11 (2017), s. 760-765. ISSN 0009-2770. E-ISSN 1213-7103
    R&D Projects: GA MŠMT LO1220
    Institutional support: RVO:68378050
    Keywords : chemical space, ,,, , * synthetic feasibility * retrosynthetic analysis * molecular complexity * virtual screening * computational drug design
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    Impact factor: 0.260, year: 2017
    Permanent Link: http://hdl.handle.net/11104/0294523
     
     
  9. 9.
    0502626 - ÚMG 2019 RIV CZ cze J - Journal Article
    Škuta, Ctibor - Svozil, Daniel
    QSAR – Modelování kvantitativních vztahů mezi strukturou a aktivitou chemických látek.
    [QSAR – Modelling of Quantitative Relations between Structure and Activity of Chemical Compounds.]
    Chemické listy. Roč. 111, č. 11 (2017), s. 747-753. ISSN 0009-2770. E-ISSN 1213-7103
    R&D Projects: GA MŠMT LO1220
    Institutional support: RVO:68378050
    Keywords : QSAR * biological activity modelling * data mining * virtual screening * applicability domain * conformal prediction
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    Impact factor: 0.260, year: 2017
    Permanent Link: http://hdl.handle.net/11104/0294522
     
     
  10. 10.
    0502625 - ÚMG 2019 RIV CZ cze J - Journal Article
    Šícho, M. - Svozil, Daniel
    Molekulové dokování jako nástroj pro virtuální návrh léčiv.
    [Molecular Docking as a Tool to Virtually Develop Drugs.]
    Chemické listy. Roč. 111, č. 11 (2017), s. 754-759. ISSN 0009-2770. E-ISSN 1213-7103
    R&D Projects: GA MŠMT LO1220
    Institutional support: RVO:68378050
    Keywords : molecular docking * computer-aided drug design * structure-based drug design * virtual screening
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    Impact factor: 0.260, year: 2017
    Permanent Link: http://hdl.handle.net/11104/0294521
     
     

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