Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Oleksandr Narykov

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

Pageof 2
Sort By:
Nature Methods|May 8, 2021
Computational protein modeling and the next viral pandemicOleksandr Narykov, Suhas Srinivasan, Dmitry Korkin
Bioinformatics (Oxford, England)|July 28, 2019
DISPOT: a simple knowledge-based protein domain interaction statistical potentialOleksandr Narykov, Dmytro Bogatov, Dmitry Korkin
Cell Reports|November 24, 2021
Predicting protein interaction network perturbation by alternative splicing with semi-supervised learningOleksandr Narykov, Nathan T Johnson, Dmitry Korkin
Frontiers in Medicine|March 6, 2023
Deep learning methods for drug response prediction in cancer: Predominant and emerging trendsAlexander Partin, Thomas S Brettin, Yitan Zhu, et al.
Viruses|March 29, 2020
Structural Genomics of SARS-CoV-2 Indicates Evolutionary Conserved Functional Regions of Viral ProteinsSuhas Srinivasan, Hongzhu Cui, Ziyang Gao, et al.
Cancers|February 10, 2024
A Comprehensive Investigation of Active Learning Strategies for Conducting Anti-Cancer Drug ScreeningPriyanka Vasanthakumari, Yitan Zhu, Thomas Brettin, et al.
Structure (London, England : 1993)|March 4, 2023
Molecular architecture and dynamics of SARS-CoV-2 envelope by integrative modelingWeria Pezeshkian, Fabian Grünewald, Oleksandr Narykov, et al.
Briefings in Bioinformatics|April 3, 2025
Data imbalance in drug response prediction: multi-objective optimization approach in deep learning settingOleksandr Narykov, Yitan Zhu, Thomas Brettin, et al.
Cancers|January 11, 2024
Integration of Computational Docking into Anti-Cancer Drug Response Prediction ModelsOleksandr Narykov, Yitan Zhu, Thomas Brettin, et al.
Nature Neuroscience|April 9, 2024
Single-cell long-read sequencing-based mapping reveals specialized splicing patterns in developing and adult mouse and human brainAnoushka Joglekar, Wen Hu, Bei Zhang, et al.
Pageof 2

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

Sort By:
Pageof 2
Nature Methods|May 8, 2021
Computational protein modeling and the next viral pandemicOleksandr Narykov, Suhas Srinivasan, Dmitry Korkin
Bioinformatics (Oxford, England)|July 28, 2019
DISPOT: a simple knowledge-based protein domain interaction statistical potentialOleksandr Narykov, Dmytro Bogatov, Dmitry Korkin
Cell Reports|November 24, 2021
Predicting protein interaction network perturbation by alternative splicing with semi-supervised learningOleksandr Narykov, Nathan T Johnson, Dmitry Korkin
Frontiers in Medicine|March 6, 2023
Deep learning methods for drug response prediction in cancer: Predominant and emerging trendsAlexander Partin, Thomas S Brettin, Yitan Zhu, et al.
Viruses|March 29, 2020
Structural Genomics of SARS-CoV-2 Indicates Evolutionary Conserved Functional Regions of Viral ProteinsSuhas Srinivasan, Hongzhu Cui, Ziyang Gao, et al.
Cancers|February 10, 2024
A Comprehensive Investigation of Active Learning Strategies for Conducting Anti-Cancer Drug ScreeningPriyanka Vasanthakumari, Yitan Zhu, Thomas Brettin, et al.
Structure (London, England : 1993)|March 4, 2023
Molecular architecture and dynamics of SARS-CoV-2 envelope by integrative modelingWeria Pezeshkian, Fabian Grünewald, Oleksandr Narykov, et al.
Briefings in Bioinformatics|April 3, 2025
Data imbalance in drug response prediction: multi-objective optimization approach in deep learning settingOleksandr Narykov, Yitan Zhu, Thomas Brettin, et al.
Cancers|January 11, 2024
Integration of Computational Docking into Anti-Cancer Drug Response Prediction ModelsOleksandr Narykov, Yitan Zhu, Thomas Brettin, et al.
Nature Neuroscience|April 9, 2024
Single-cell long-read sequencing-based mapping reveals specialized splicing patterns in developing and adult mouse and human brainAnoushka Joglekar, Wen Hu, Bei Zhang, et al.
Pageof 2