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

Dávid Bajusz

Showing results (1-10 of 63) with videos related to

Pageof 7
Sort By:
Expert Opinion on Drug Discovery|June 7, 2022
Maximizing the integration of virtual and experimental screening in hit discoveryDávid Bajusz, György M Keserű
Molecules (Basel, Switzerland)|July 27, 2019
Comparison of Data Fusion Methods as Consensus Scores for Ensemble DockingDávid Bajusz, Anita Rácz, Károly Héberger
Molecules (Basel, Switzerland)|August 4, 2019
Multi-Level Comparison of Machine Learning Classifiers and Their Performance MetricsAnita Rácz, Dávid Bajusz, Károly Héberger
Molecules (Basel, Switzerland)|March 6, 2021
Effect of Dataset Size and Train/Test Split Ratios in QSAR/QSPR Multiclass ClassificationAnita Rácz, Dávid Bajusz, Károly Héberger
Journal of Cheminformatics|October 6, 2018
Life beyond the Tanimoto coefficient: similarity measures for interaction fingerprintsAnita Rácz, Dávid Bajusz, Károly Héberger
Molecular Informatics|April 5, 2019
Intercorrelation Limits in Molecular Descriptor Preselection for QSAR/QSPRAnita Rácz, Dávid Bajusz, Károly Héberger
Journal of Cheminformatics|June 9, 2015
Why is Tanimoto index an appropriate choice for fingerprint-based similarity calculations?Dávid Bajusz, Anita Rácz, Károly Héberger
Bioorganic & Medicinal Chemistry|March 6, 2019
The impact of binding site waters on the activity/selectivity trade-off of Janus kinase 2 (JAK2) inhibitorsAttila Egyed, Dávid Bajusz, György M Keserű
Journal of Chemical Information and Modeling|December 20, 2015
Discovery of Subtype Selective Janus Kinase (JAK) Inhibitors by Structure-Based Virtual ScreeningDávid Bajusz, György G Ferenczy, György M Keserű
Metabolomics : Official Journal of the Metabolomic Society|March 24, 2018
Binary similarity measures for fingerprint analysis of qualitative metabolomic profilesAnita Rácz, Filip Andrić, Dávid Bajusz, et al.
Pageof 7

Showing results (1-10 of 63) with videos related to

Sort By:
Pageof 7
Expert Opinion on Drug Discovery|June 7, 2022
Maximizing the integration of virtual and experimental screening in hit discoveryDávid Bajusz, György M Keserű
Molecules (Basel, Switzerland)|July 27, 2019
Comparison of Data Fusion Methods as Consensus Scores for Ensemble DockingDávid Bajusz, Anita Rácz, Károly Héberger
Molecules (Basel, Switzerland)|August 4, 2019
Multi-Level Comparison of Machine Learning Classifiers and Their Performance MetricsAnita Rácz, Dávid Bajusz, Károly Héberger
Molecules (Basel, Switzerland)|March 6, 2021
Effect of Dataset Size and Train/Test Split Ratios in QSAR/QSPR Multiclass ClassificationAnita Rácz, Dávid Bajusz, Károly Héberger
Journal of Cheminformatics|October 6, 2018
Life beyond the Tanimoto coefficient: similarity measures for interaction fingerprintsAnita Rácz, Dávid Bajusz, Károly Héberger
Molecular Informatics|April 5, 2019
Intercorrelation Limits in Molecular Descriptor Preselection for QSAR/QSPRAnita Rácz, Dávid Bajusz, Károly Héberger
Journal of Cheminformatics|June 9, 2015
Why is Tanimoto index an appropriate choice for fingerprint-based similarity calculations?Dávid Bajusz, Anita Rácz, Károly Héberger
Bioorganic & Medicinal Chemistry|March 6, 2019
The impact of binding site waters on the activity/selectivity trade-off of Janus kinase 2 (JAK2) inhibitorsAttila Egyed, Dávid Bajusz, György M Keserű
Journal of Chemical Information and Modeling|December 20, 2015
Discovery of Subtype Selective Janus Kinase (JAK) Inhibitors by Structure-Based Virtual ScreeningDávid Bajusz, György G Ferenczy, György M Keserű
Metabolomics : Official Journal of the Metabolomic Society|March 24, 2018
Binary similarity measures for fingerprint analysis of qualitative metabolomic profilesAnita Rácz, Filip Andrić, Dávid Bajusz, et al.
Pageof 7