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

Gwang Lee

Showing results (41-50 of 168) with videos related to

Pageof 17
Sort By:
Bioinformatics (Oxford, England)|December 28, 2018
mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representationBalachandran Manavalan, Shaherin Basith, Tae Hwan Shin, et al.
Briefings in Bioinformatics|July 6, 2021
Integrative machine learning framework for the identification of cell-specific enhancers from the human genomeShaherin Basith, Md Mehedi Hasan, Gwang Lee, et al.
Annals of Neurology|June 2, 2005
Autologous mesenchymal stem cell transplantation in stroke patientsOh Young Bang, Jin Soo Lee, Phil Hyu Lee, et al.
Biomedical Chromatography : BMC|February 1, 2012
Chiral separation of N-methyl-DL-aspartic acid in rat brain tissue as N-ethoxycarbonylated (S)-(+)-2-octyl ester derivatives by GC-MSDuc-Toan Nguyen, Kyoung-Rae Kim, Gwang Lee, et al.
Journal of Nanobiotechnology|November 19, 2020
Effect of silica-coated magnetic nanoparticles on rigidity sensing of human embryonic kidney cellsAbdurazak Aman Ketebo, Tae Hwan Shin, Myeongjun Jun, et al.
Journal of Neurochemistry|November 9, 2002
Synphilin-1 degradation by the ubiquitin-proteasome pathway and effects on cell survivalGwang Lee, Eunsung Junn, Mikiei Tanaka, et al.
Journal of Proteome Research|June 13, 2018
Machine-Learning-Based Prediction of Cell-Penetrating Peptides and Their Uptake Efficiency with Improved AccuracyBalachandran Manavalan, Sathiyamoorthy Subramaniyam, Tae Hwan Shin, et al.
Briefings in Bioinformatics|June 12, 2026
CONTRA-IL6: an interpretable hybrid convolutional neural network and Transformer framework for accurate prediction of interleukin-6-inducing peptides using protein language modelsDuong Thanh Tran, Nhat Truong Pham, Gwang Lee, et al.
Current Protein & Peptide Science|January 21, 2020
Evolution of Machine Learning Algorithms in the Prediction and Design of Anticancer PeptidesShaherin Basith, Balachandran Manavalan, Tae Hwan Shin, et al.
Molecular and Cellular Neurosciences|January 27, 2009
Molecular interaction between parkin and PINK1 in mammalian neuronal cellsJi Won Um, Christine Stichel-Gunkel, Hermann Lübbert, et al.
Pageof 17

Showing results (41-50 of 168) with videos related to

Sort By:
Pageof 17
Bioinformatics (Oxford, England)|December 28, 2018
mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representationBalachandran Manavalan, Shaherin Basith, Tae Hwan Shin, et al.
Briefings in Bioinformatics|July 6, 2021
Integrative machine learning framework for the identification of cell-specific enhancers from the human genomeShaherin Basith, Md Mehedi Hasan, Gwang Lee, et al.
Annals of Neurology|June 2, 2005
Autologous mesenchymal stem cell transplantation in stroke patientsOh Young Bang, Jin Soo Lee, Phil Hyu Lee, et al.
Biomedical Chromatography : BMC|February 1, 2012
Chiral separation of N-methyl-DL-aspartic acid in rat brain tissue as N-ethoxycarbonylated (S)-(+)-2-octyl ester derivatives by GC-MSDuc-Toan Nguyen, Kyoung-Rae Kim, Gwang Lee, et al.
Journal of Nanobiotechnology|November 19, 2020
Effect of silica-coated magnetic nanoparticles on rigidity sensing of human embryonic kidney cellsAbdurazak Aman Ketebo, Tae Hwan Shin, Myeongjun Jun, et al.
Journal of Neurochemistry|November 9, 2002
Synphilin-1 degradation by the ubiquitin-proteasome pathway and effects on cell survivalGwang Lee, Eunsung Junn, Mikiei Tanaka, et al.
Journal of Proteome Research|June 13, 2018
Machine-Learning-Based Prediction of Cell-Penetrating Peptides and Their Uptake Efficiency with Improved AccuracyBalachandran Manavalan, Sathiyamoorthy Subramaniyam, Tae Hwan Shin, et al.
Briefings in Bioinformatics|June 12, 2026
CONTRA-IL6: an interpretable hybrid convolutional neural network and Transformer framework for accurate prediction of interleukin-6-inducing peptides using protein language modelsDuong Thanh Tran, Nhat Truong Pham, Gwang Lee, et al.
Current Protein & Peptide Science|January 21, 2020
Evolution of Machine Learning Algorithms in the Prediction and Design of Anticancer PeptidesShaherin Basith, Balachandran Manavalan, Tae Hwan Shin, et al.
Molecular and Cellular Neurosciences|January 27, 2009
Molecular interaction between parkin and PINK1 in mammalian neuronal cellsJi Won Um, Christine Stichel-Gunkel, Hermann Lübbert, et al.
Pageof 17