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Sulev Sild

Showing results (11-20 of 23) with videos related to

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Journal of Chemical Information and Modeling|May 23, 2006
Open computing grid for molecular science and engineeringSulev Sild, Uko Maran, Andre Lomaka, et al.
Journal of Chemical Information and Modeling|August 31, 2011
Combined approach using ligand efficiency, cross-docking, and antitarget hits for wild-type and drug-resistant Y181C HIV-1 reverse transcriptaseAlfonso T García-Sosa, Sulev Sild, Kalev Takkis, et al.
Journal of Molecular Biology|November 15, 2008
Ribosomal intersubunit bridge B2a is involved in factor-dependent translation initiation and translational processivityKalle Kipper, Csaba Hetényi, Sulev Sild, et al.
Biochimie|February 2, 2011
Pseudouridylation of 23S rRNA helix 69 promotes peptide release by release factor RF2 but not by release factor RF1Kalle Kipper, Sulev Sild, Csaba Hetényi, et al.
International Journal of Molecular Sciences|July 27, 2022
Machine Learning Quantitative Structure-Property Relationships as a Function of Ionic Liquid Cations for the Gas-Ionic Liquid Partition Coefficient of HydrocarbonsKarl Marti Toots, Sulev Sild, Jaan Leis, et al.
Langmuir : the ACS Journal of Surfaces and Colloids|October 30, 2024
Exploring the Influence of Ionic Liquid Anion Structure on Gas-Ionic Liquid Partition Coefficients of Organic Solutes Using Machine LearningKarl Marti Toots, Sulev Sild, Jaan Leis, et al.
Environmental Health Perspectives|December 19, 2018
Best Practices for QSAR Model Reporting: Physical and Chemical Properties, Ecotoxicity, Environmental Fate, Human Health, and Toxicokinetics EndpointsGeven Piir, Iiris Kahn, Alfonso T García-Sosa, et al.
Chemical Research in Toxicology|June 2, 2026
Classification of Thyroid Peroxidase (TPO) Inhibitors Using Transfer Learning with SMILES EmbeddingsGeven Piir, Sulev Sild, Eliana Spilioti, et al.
Journal of Cheminformatics|March 27, 2026
Perspective on applicability of data-driven machine learning computational new approach methodologies for hazard identification in chemicals risk assessmentGeven Piir, Sulev Sild, Olga Tcheremenskaia, et al.
Frontiers in Artificial Intelligence|February 5, 2026
Advancing the implementation of artificial intelligence in regulatory frameworks for chemical safety assessment by defining robust readiness criteriaJoyce de Paula Souza, Jonathan Blum, Uko Maran, et al.
Pageof 3

Showing results (11-20 of 23) with videos related to

Sort By:
Pageof 3
Journal of Chemical Information and Modeling|May 23, 2006
Open computing grid for molecular science and engineeringSulev Sild, Uko Maran, Andre Lomaka, et al.
Journal of Chemical Information and Modeling|August 31, 2011
Combined approach using ligand efficiency, cross-docking, and antitarget hits for wild-type and drug-resistant Y181C HIV-1 reverse transcriptaseAlfonso T García-Sosa, Sulev Sild, Kalev Takkis, et al.
Journal of Molecular Biology|November 15, 2008
Ribosomal intersubunit bridge B2a is involved in factor-dependent translation initiation and translational processivityKalle Kipper, Csaba Hetényi, Sulev Sild, et al.
Biochimie|February 2, 2011
Pseudouridylation of 23S rRNA helix 69 promotes peptide release by release factor RF2 but not by release factor RF1Kalle Kipper, Sulev Sild, Csaba Hetényi, et al.
International Journal of Molecular Sciences|July 27, 2022
Machine Learning Quantitative Structure-Property Relationships as a Function of Ionic Liquid Cations for the Gas-Ionic Liquid Partition Coefficient of HydrocarbonsKarl Marti Toots, Sulev Sild, Jaan Leis, et al.
Langmuir : the ACS Journal of Surfaces and Colloids|October 30, 2024
Exploring the Influence of Ionic Liquid Anion Structure on Gas-Ionic Liquid Partition Coefficients of Organic Solutes Using Machine LearningKarl Marti Toots, Sulev Sild, Jaan Leis, et al.
Environmental Health Perspectives|December 19, 2018
Best Practices for QSAR Model Reporting: Physical and Chemical Properties, Ecotoxicity, Environmental Fate, Human Health, and Toxicokinetics EndpointsGeven Piir, Iiris Kahn, Alfonso T García-Sosa, et al.
Chemical Research in Toxicology|June 2, 2026
Classification of Thyroid Peroxidase (TPO) Inhibitors Using Transfer Learning with SMILES EmbeddingsGeven Piir, Sulev Sild, Eliana Spilioti, et al.
Journal of Cheminformatics|March 27, 2026
Perspective on applicability of data-driven machine learning computational new approach methodologies for hazard identification in chemicals risk assessmentGeven Piir, Sulev Sild, Olga Tcheremenskaia, et al.
Frontiers in Artificial Intelligence|February 5, 2026
Advancing the implementation of artificial intelligence in regulatory frameworks for chemical safety assessment by defining robust readiness criteriaJoyce de Paula Souza, Jonathan Blum, Uko Maran, et al.
Pageof 3