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

Jianting Gong

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

Pageof 1
Sort By:
Computational and Structural Biotechnology Journal|December 30, 2022
Prediction of protein stability changes upon single-point variant using 3D structure profileJianting Gong, Juexin Wang, Xizeng Zong, et al.
Biophysical Chemistry|May 20, 2024
A benchmark for evaluation of structure-based online tools for antibody-antigen binding affinityJiayi Xu, Jianting Gong, Xiaochen Bo, et al.
Scientific Reports|March 21, 2017
Predicting siRNA efficacy based on multiple selective siRNA representations and their combination at score levelFei He, Ye Han, Jianting Gong, et al.
Bioinformatics (Oxford, England)|April 30, 2026
MuFaDDG: A Sequence-Based Multiscale Feature Fusion Framework for Protein Stability Changes PredictionJianting Gong, Pengjia Ma, Zllin Ren, et al.
Current Drug Targets|December 6, 2018
Understanding Membrane Protein Drug Targets in Computational PerspectiveJianting Gong, Yongbing Chen, Feng Pu, et al.
Frontiers in Pharmacology|May 20, 2022
Exploration on Varying Patterns of Morphological Features and Quality of Armeniacae Semen Amarum in Rancid Process Based on Colorimeter, Electronic Nose, and GC/MS Coupled With Human PanelYuanyang Shao, Huirong Chen, Hongxin Lin, et al.
Nature Communications|March 26, 2021
scGNN is a novel graph neural network framework for single-cell RNA-Seq analysesJuexin Wang, Anjun Ma, Yuzhou Chang, et al.
Nature Communications|May 4, 2022
Author Correction: scGNN is a novel graph neural network framework for single-cell RNA-Seq analysesJuexin Wang, Anjun Ma, Yuzhou Chang, et al.
Bioinformatics (Oxford, England)|May 24, 2024
CodonBERT: a BERT-based architecture tailored for codon optimization using the cross-attention mechanismZilin Ren, Lili Jiang, Yaxin Di, et al.
Bioinformatics (Oxford, England)|October 24, 2023
THPLM: a sequence-based deep learning framework for protein stability changes prediction upon point variations using pretrained protein language modelJianting Gong, Lili Jiang, Yongbing Chen, et al.
Pageof 1

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

Sort By:
Pageof 1
Computational and Structural Biotechnology Journal|December 30, 2022
Prediction of protein stability changes upon single-point variant using 3D structure profileJianting Gong, Juexin Wang, Xizeng Zong, et al.
Biophysical Chemistry|May 20, 2024
A benchmark for evaluation of structure-based online tools for antibody-antigen binding affinityJiayi Xu, Jianting Gong, Xiaochen Bo, et al.
Scientific Reports|March 21, 2017
Predicting siRNA efficacy based on multiple selective siRNA representations and their combination at score levelFei He, Ye Han, Jianting Gong, et al.
Bioinformatics (Oxford, England)|April 30, 2026
MuFaDDG: A Sequence-Based Multiscale Feature Fusion Framework for Protein Stability Changes PredictionJianting Gong, Pengjia Ma, Zllin Ren, et al.
Current Drug Targets|December 6, 2018
Understanding Membrane Protein Drug Targets in Computational PerspectiveJianting Gong, Yongbing Chen, Feng Pu, et al.
Frontiers in Pharmacology|May 20, 2022
Exploration on Varying Patterns of Morphological Features and Quality of Armeniacae Semen Amarum in Rancid Process Based on Colorimeter, Electronic Nose, and GC/MS Coupled With Human PanelYuanyang Shao, Huirong Chen, Hongxin Lin, et al.
Nature Communications|March 26, 2021
scGNN is a novel graph neural network framework for single-cell RNA-Seq analysesJuexin Wang, Anjun Ma, Yuzhou Chang, et al.
Nature Communications|May 4, 2022
Author Correction: scGNN is a novel graph neural network framework for single-cell RNA-Seq analysesJuexin Wang, Anjun Ma, Yuzhou Chang, et al.
Bioinformatics (Oxford, England)|May 24, 2024
CodonBERT: a BERT-based architecture tailored for codon optimization using the cross-attention mechanismZilin Ren, Lili Jiang, Yaxin Di, et al.
Bioinformatics (Oxford, England)|October 24, 2023
THPLM: a sequence-based deep learning framework for protein stability changes prediction upon point variations using pretrained protein language modelJianting Gong, Lili Jiang, Yongbing Chen, et al.
Pageof 1