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Olga Obrezanova

Showing results (1-10 of 15) with videos related to

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Current Opinion in Structural Biology|February 22, 2023
Artificial intelligence for compound pharmacokinetics predictionOlga Obrezanova
Journal of Chemical Information and Modeling|May 4, 2010
Gaussian processes for classification: QSAR modeling of ADMET and target activityOlga Obrezanova, Matthew D Segall
Chemistry & Biodiversity|November 26, 2009
Beyond profiling: using ADMET models to guide decisionsMatthew Segall, Edmund Champness, Olga Obrezanova, et al.
Journal of Chemical Information and Modeling|July 3, 2007
Gaussian processes: a method for automatic QSAR modeling of ADME propertiesOlga Obrezanova, Gabor Csanyi, Joelle M R Gola, et al.
Journal of Computer-Aided Molecular Design|February 15, 2008
Automatic QSAR modeling of ADME properties: blood-brain barrier penetration and aqueous solubilityOlga Obrezanova, Joelle M R Gola, Edmund J Champness, et al.
Frontiers in Immunology|June 15, 2026
Review: application and opportunities for machine learning and artificial intelligence in preclinical immunogenicity risk assessmentTimothy Paul Hickling, Morten Nielsen, Pieter Meysman, et al.
Xenobiotica; the Fate of Foreign Compounds in Biological Systems|August 21, 2024
Perspectives on the use of machine learning for ADME prediction at AstraZenecaErik Gawehn, Nigel Greene, Filip Miljković, et al.
Molecular Pharmaceutics|November 11, 2021
Machine Learning Models for Human <i>In Vivo</i> Pharmacokinetic Parameters with In-House ValidationFilip Miljković, Anton Martinsson, Olga Obrezanova, et al.
The Biochemical Journal|October 1, 2015
Biological insights into the expression of translation initiation factors from recombinant CHOK1SV cell lines and their relationship to enhanced productivityEmma J Mead, Rosalyn J Masterton, Marc Feary, et al.
Mabs|March 12, 2015
Aggregation risk prediction for antibodies and its application to biotherapeutic developmentOlga Obrezanova, Andreas Arnell, Ramón Gómez de la Cuesta, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Current Opinion in Structural Biology|February 22, 2023
Artificial intelligence for compound pharmacokinetics predictionOlga Obrezanova
Journal of Chemical Information and Modeling|May 4, 2010
Gaussian processes for classification: QSAR modeling of ADMET and target activityOlga Obrezanova, Matthew D Segall
Chemistry & Biodiversity|November 26, 2009
Beyond profiling: using ADMET models to guide decisionsMatthew Segall, Edmund Champness, Olga Obrezanova, et al.
Journal of Chemical Information and Modeling|July 3, 2007
Gaussian processes: a method for automatic QSAR modeling of ADME propertiesOlga Obrezanova, Gabor Csanyi, Joelle M R Gola, et al.
Journal of Computer-Aided Molecular Design|February 15, 2008
Automatic QSAR modeling of ADME properties: blood-brain barrier penetration and aqueous solubilityOlga Obrezanova, Joelle M R Gola, Edmund J Champness, et al.
Frontiers in Immunology|June 15, 2026
Review: application and opportunities for machine learning and artificial intelligence in preclinical immunogenicity risk assessmentTimothy Paul Hickling, Morten Nielsen, Pieter Meysman, et al.
Xenobiotica; the Fate of Foreign Compounds in Biological Systems|August 21, 2024
Perspectives on the use of machine learning for ADME prediction at AstraZenecaErik Gawehn, Nigel Greene, Filip Miljković, et al.
Molecular Pharmaceutics|November 11, 2021
Machine Learning Models for Human <i>In Vivo</i> Pharmacokinetic Parameters with In-House ValidationFilip Miljković, Anton Martinsson, Olga Obrezanova, et al.
The Biochemical Journal|October 1, 2015
Biological insights into the expression of translation initiation factors from recombinant CHOK1SV cell lines and their relationship to enhanced productivityEmma J Mead, Rosalyn J Masterton, Marc Feary, et al.
Mabs|March 12, 2015
Aggregation risk prediction for antibodies and its application to biotherapeutic developmentOlga Obrezanova, Andreas Arnell, Ramón Gómez de la Cuesta, et al.
Pageof 2