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

Nobuyoshi Sugaya

Showing results (1-10 of 14) with videos related to

Pageof 2
Sort By:
Journal of Chemical Information and Modeling|September 12, 2013
Training based on ligand efficiency improves prediction of bioactivities of ligands and drug target proteins in a machine learning approachNobuyoshi Sugaya
Journal of Chemical Information and Modeling|September 16, 2014
Ligand efficiency-based support vector regression models for predicting bioactivities of ligands to drug target proteinsNobuyoshi Sugaya
BMC Bioinformatics|February 10, 2011
Dr. PIAS: an integrative system for assessing the druggability of protein-protein interactionsNobuyoshi Sugaya, Toshio Furuya
Journal of Molecular Evolution|October 26, 2002
The lineage-specific base-pair contents in the stem regions of ribosomal RNAs and their influence on the estimation of evolutionary distancesNobuyoshi Sugaya, Jinya Otsuka
Journal of Theoretical Biology|June 5, 2003
Advanced formulation of base pair changes in the stem regions of ribosomal RNAs; its application to mitochondrial rRNAs for resolving the phylogeny of animalsJinya Otsuka, Nobuyoshi Sugaya
BMC Bioinformatics|August 26, 2009
Assessing the druggability of protein-protein interactions by a supervised machine-learning methodNobuyoshi Sugaya, Kazuyoshi Ikeda
Database : the Journal of Biological Databases and Curation|October 13, 2012
Dr. PIAS 2.0: an update of a database of predicted druggable protein-protein interactionsNobuyoshi Sugaya, Satoru Kanai, Toshio Furuya
Scientific Reports|March 22, 2012
How well do the substrates KISS the enzyme? Molecular docking program selection for feruloyl esterasesD B R K Gupta Udatha, Nobuyoshi Sugaya, Lisbeth Olsson, et al.
Genome Informatics. International Conference on Genome Informatics|February 16, 2005
Detection of inter-spread repeat sequence in genomic DNA sequenceHiroo Murakami, Nobuyoshi Sugaya, Makihiko Sato, et al.
Genome Informatics. International Conference on Genome Informatics|February 16, 2005
Causes for the large genome size in a cyanobacterium Anabaena sp. PCC7120Nobuyoshi Sugaya, Makihiko Sato, Hiroo Murakami, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Journal of Chemical Information and Modeling|September 12, 2013
Training based on ligand efficiency improves prediction of bioactivities of ligands and drug target proteins in a machine learning approachNobuyoshi Sugaya
Journal of Chemical Information and Modeling|September 16, 2014
Ligand efficiency-based support vector regression models for predicting bioactivities of ligands to drug target proteinsNobuyoshi Sugaya
BMC Bioinformatics|February 10, 2011
Dr. PIAS: an integrative system for assessing the druggability of protein-protein interactionsNobuyoshi Sugaya, Toshio Furuya
Journal of Molecular Evolution|October 26, 2002
The lineage-specific base-pair contents in the stem regions of ribosomal RNAs and their influence on the estimation of evolutionary distancesNobuyoshi Sugaya, Jinya Otsuka
Journal of Theoretical Biology|June 5, 2003
Advanced formulation of base pair changes in the stem regions of ribosomal RNAs; its application to mitochondrial rRNAs for resolving the phylogeny of animalsJinya Otsuka, Nobuyoshi Sugaya
BMC Bioinformatics|August 26, 2009
Assessing the druggability of protein-protein interactions by a supervised machine-learning methodNobuyoshi Sugaya, Kazuyoshi Ikeda
Database : the Journal of Biological Databases and Curation|October 13, 2012
Dr. PIAS 2.0: an update of a database of predicted druggable protein-protein interactionsNobuyoshi Sugaya, Satoru Kanai, Toshio Furuya
Scientific Reports|March 22, 2012
How well do the substrates KISS the enzyme? Molecular docking program selection for feruloyl esterasesD B R K Gupta Udatha, Nobuyoshi Sugaya, Lisbeth Olsson, et al.
Genome Informatics. International Conference on Genome Informatics|February 16, 2005
Detection of inter-spread repeat sequence in genomic DNA sequenceHiroo Murakami, Nobuyoshi Sugaya, Makihiko Sato, et al.
Genome Informatics. International Conference on Genome Informatics|February 16, 2005
Causes for the large genome size in a cyanobacterium Anabaena sp. PCC7120Nobuyoshi Sugaya, Makihiko Sato, Hiroo Murakami, et al.
Pageof 2