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Journal of Computational Chemistry
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February 24, 2022
Complex machine learning model needs complex testing: Examining predictability of molecular binding affinity by a graph neural network
Tymofii Nikolaienko, Oleksandr Gurbych, Maksym Druchok
Journal of Computational Chemistry
|
February 14, 2021
Toward efficient generation, correction, and properties control of unique drug-like structures
Maksym Druchok, Dzvenymyra Yarish, Oleksandr Gurbych, et al.
Computational Biology and Chemistry
|
June 30, 2021
Ensembling machine learning models to boost molecular affinity prediction
Maksym Druchok, Dzvenymyra Yarish, Sofiya Garkot, et al.
Journal of Computational Chemistry
|
January 13, 2025
Filling the Gap in <math> </math> and <math> </math> Evaluation for Saturated Fluorine-Containing Derivatives With Machine Learning
Oleksandr Gurbych, Petro Pavliuk, Dmytro Krasnienkov, et al.
Journal of Computational Chemistry
|
October 20, 2022
Advancing molecular graphs with descriptors for the prediction of chemical reaction yields
Dzvenymyra Yarish, Sofiya Garkot, Oleksandr O Grygorenko, et al.
Frontiers in Medicine
|
September 15, 2025
Association of leukocyte telomere length and HbA1c with post-COVID-19 syndrome in type 2 diabetes: a cross-sectional pilot study
Anton Matviichuk, Dmytro Krasnienkov, Viktoriia Yerokhovych, et al.
Scientific Reports
|
October 27, 2024
HbA1c and leukocyte mtDNA levels as major factors associated with post-COVID-19 syndrome in type 2 diabetes patients
Anton Matviichuk, Viktoriia Yerokhovych, Yeva Ilkiv, et al.
Eclinicalmedicine
|
January 10, 2025
The impact of war on people with type 2 diabetes in Ukraine: a survey study
Oksana Sulaieva, Viktoriia Yerokhovych, Sergii Zemskov, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 8) with videos related to
Sort By:
Page
of 1
Journal of Computational Chemistry
|
February 24, 2022
Complex machine learning model needs complex testing: Examining predictability of molecular binding affinity by a graph neural network
Tymofii Nikolaienko, Oleksandr Gurbych, Maksym Druchok
Journal of Computational Chemistry
|
February 14, 2021
Toward efficient generation, correction, and properties control of unique drug-like structures
Maksym Druchok, Dzvenymyra Yarish, Oleksandr Gurbych, et al.
Computational Biology and Chemistry
|
June 30, 2021
Ensembling machine learning models to boost molecular affinity prediction
Maksym Druchok, Dzvenymyra Yarish, Sofiya Garkot, et al.
Journal of Computational Chemistry
|
January 13, 2025
Filling the Gap in <math> </math> and <math> </math> Evaluation for Saturated Fluorine-Containing Derivatives With Machine Learning
Oleksandr Gurbych, Petro Pavliuk, Dmytro Krasnienkov, et al.
Journal of Computational Chemistry
|
October 20, 2022
Advancing molecular graphs with descriptors for the prediction of chemical reaction yields
Dzvenymyra Yarish, Sofiya Garkot, Oleksandr O Grygorenko, et al.
Frontiers in Medicine
|
September 15, 2025
Association of leukocyte telomere length and HbA1c with post-COVID-19 syndrome in type 2 diabetes: a cross-sectional pilot study
Anton Matviichuk, Dmytro Krasnienkov, Viktoriia Yerokhovych, et al.
Scientific Reports
|
October 27, 2024
HbA1c and leukocyte mtDNA levels as major factors associated with post-COVID-19 syndrome in type 2 diabetes patients
Anton Matviichuk, Viktoriia Yerokhovych, Yeva Ilkiv, et al.
Eclinicalmedicine
|
January 10, 2025
The impact of war on people with type 2 diabetes in Ukraine: a survey study
Oksana Sulaieva, Viktoriia Yerokhovych, Sergii Zemskov, et al.
Page
of 1