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Journal of Nanobiotechnology
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July 23, 2024
NANO.PTML model for read-across prediction of nanosystems in neurosciences. computational model and experimental case of study
Shan He, Karam Nader, Julen Segura Abarrategi, et al.
International Journal of Molecular Sciences
|
November 13, 2021
Prediction of Anti-Glioblastoma Drug-Decorated Nanoparticle Delivery Systems Using Molecular Descriptors and Machine Learning
Cristian R Munteanu, Pablo Gutiérrez-Asorey, Manuel Blanes-Rodríguez, et al.
Bioorganic Chemistry
|
February 28, 2021
Molecular docking, SAR analysis and biophysical approaches in the study of the antibacterial activity of ceramides isolated from Cissus incisa
Deyani Nocedo-Mena, Sonia Arrasate, Elvira Garza-González, et al.
JACC. Basic to Translational Science
|
December 6, 2021
MLb-LDLr: A Machine Learning Model for Predicting the Pathogenicity of <i>LDLr</i> Missense Variants
Asier Larrea-Sebal, Asier Benito-Vicente, José A Fernandez-Higuero, et al.
ACS Chemical Neuroscience
|
December 21, 2020
Synthesis, Pharmacological, and Biological Evaluation of 2-Furoyl-Based MIF-1 Peptidomimetics and the Development of a General-Purpose Model for Allosteric Modulators (ALLOPTML)
Ivo E Sampaio-Dias, José E Rodríguez-Borges, Víctor Yáñez-Pérez, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|
January 23, 2024
OptiMo-LDLr: An Integrated In Silico Model with Enhanced Predictive Power for LDL Receptor Variants, Unraveling Hot Spot Pathogenic Residues
Asier Larrea-Sebal, Iñaki Sasiain, Shifa Jebari-Benslaiman, et al.
International Journal of Surgery (London, England)
|
June 4, 2024
Machine learning guided prediction of warfarin blood levels for personalized medicine based on clinical longitudinal data from cardiac surgery patients: a prospective observational study
Ling Xue, Shan He, Rajeev K Singla, et al.
ACS Applied Materials & Interfaces
|
January 13, 2025
Drug Release Nanoparticle System Design: Data Set Compilation and Machine Learning Modeling
Shan He, Ander Barón, Cristian R Munteanu, et al.
Journal of Chemical Information and Modeling
|
October 22, 2025
Machine Learning Approach for Predicting Drug-Like Molecules Targeting Calmodulin Pathway Proteins
Maider Baltasar-Marchueta, Naia López, Sara Alicante, et al.
Biomedicine & Pharmacotherapy = Biomedecine & Pharmacotherapie
|
April 18, 2024
Identification of Riluzole derivatives as novel calmodulin inhibitors with neuroprotective activity by a joint synthesis, biosensor, and computational guided strategy
Maider Baltasar-Marchueta, Leire Llona, Sara M-Alicante, et al.
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Search research articles
Search
Showing results (31-40 of 40) with videos related to
Sort By:
Page
of 4
You have reached the last page of results.
This site can display upto 40 results.
Journal of Nanobiotechnology
|
July 23, 2024
NANO.PTML model for read-across prediction of nanosystems in neurosciences. computational model and experimental case of study
Shan He, Karam Nader, Julen Segura Abarrategi, et al.
International Journal of Molecular Sciences
|
November 13, 2021
Prediction of Anti-Glioblastoma Drug-Decorated Nanoparticle Delivery Systems Using Molecular Descriptors and Machine Learning
Cristian R Munteanu, Pablo Gutiérrez-Asorey, Manuel Blanes-Rodríguez, et al.
Bioorganic Chemistry
|
February 28, 2021
Molecular docking, SAR analysis and biophysical approaches in the study of the antibacterial activity of ceramides isolated from Cissus incisa
Deyani Nocedo-Mena, Sonia Arrasate, Elvira Garza-González, et al.
JACC. Basic to Translational Science
|
December 6, 2021
MLb-LDLr: A Machine Learning Model for Predicting the Pathogenicity of <i>LDLr</i> Missense Variants
Asier Larrea-Sebal, Asier Benito-Vicente, José A Fernandez-Higuero, et al.
ACS Chemical Neuroscience
|
December 21, 2020
Synthesis, Pharmacological, and Biological Evaluation of 2-Furoyl-Based MIF-1 Peptidomimetics and the Development of a General-Purpose Model for Allosteric Modulators (ALLOPTML)
Ivo E Sampaio-Dias, José E Rodríguez-Borges, Víctor Yáñez-Pérez, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|
January 23, 2024
OptiMo-LDLr: An Integrated In Silico Model with Enhanced Predictive Power for LDL Receptor Variants, Unraveling Hot Spot Pathogenic Residues
Asier Larrea-Sebal, Iñaki Sasiain, Shifa Jebari-Benslaiman, et al.
International Journal of Surgery (London, England)
|
June 4, 2024
Machine learning guided prediction of warfarin blood levels for personalized medicine based on clinical longitudinal data from cardiac surgery patients: a prospective observational study
Ling Xue, Shan He, Rajeev K Singla, et al.
ACS Applied Materials & Interfaces
|
January 13, 2025
Drug Release Nanoparticle System Design: Data Set Compilation and Machine Learning Modeling
Shan He, Ander Barón, Cristian R Munteanu, et al.
Journal of Chemical Information and Modeling
|
October 22, 2025
Machine Learning Approach for Predicting Drug-Like Molecules Targeting Calmodulin Pathway Proteins
Maider Baltasar-Marchueta, Naia López, Sara Alicante, et al.
Biomedicine & Pharmacotherapy = Biomedecine & Pharmacotherapie
|
April 18, 2024
Identification of Riluzole derivatives as novel calmodulin inhibitors with neuroprotective activity by a joint synthesis, biosensor, and computational guided strategy
Maider Baltasar-Marchueta, Leire Llona, Sara M-Alicante, et al.
Page
of 4