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International Journal of Biological Macromolecules
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June 21, 2026
Accurate identification of cytochrome P450 proteins using multimodal integration of protein language models
Yonglin Zhang, Siyu Feng, Lezheng Yu, et al.
Nucleic Acids Research
|
April 9, 2008
Using support vector machine combined with auto covariance to predict protein-protein interactions from protein sequences
Yanzhi Guo, Lezheng Yu, Zhining Wen, et al.
Frontiers in Microbiology
|
February 8, 2021
DeepT3_4: A Hybrid Deep Neural Network Model for the Distinction Between Bacterial Type III and IV Secreted Effectors
Lezheng Yu, Fengjuan Liu, Yizhou Li, et al.
Iscience
|
November 25, 2022
layerUMAP: A tool for visualizing and understanding deep learning models in biological sequence classification using UMAP
Runyu Jing, Li Xue, Menglong Li, et al.
Molecular Therapy. Nucleic Acids
|
November 24, 2020
DeepACP: A Novel Computational Approach for Accurate Identification of Anticancer Peptides by Deep Learning Algorithm
Lezheng Yu, Runyu Jing, Fengjuan Liu, et al.
ACS Omega
|
June 12, 2023
Fast and Efficient Design of Deep Neural Networks for Predicting N<sup>7</sup>-Methylguanosine Sites Using autoBioSeqpy
Yonglin Zhang, Lezheng Yu, Runyu Jing, et al.
Computers in Biology and Medicine
|
August 13, 2013
In silico identification of Gram-negative bacterial secreted proteins from primary sequence
Lezheng Yu, Jiesi Luo, Yanzhi Guo, et al.
Frontiers in Microbiology
|
June 5, 2023
Evaluation and development of deep neural networks for RNA 5-Methyluridine classifications using autoBioSeqpy
Lezheng Yu, Yonglin Zhang, Li Xue, et al.
Plos One
|
April 16, 2025
Optimizing lipocalin sequence classification with ensemble deep learning models
Yonglin Zhang, Lezheng Yu, Li Xue, et al.
Journal of Advanced Research
|
November 3, 2022
The applications of deep learning algorithms on in silico druggable proteins identification
Lezheng Yu, Li Xue, Fengjuan Liu, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 19) with videos related to
Sort By:
Page
of 2
International Journal of Biological Macromolecules
|
June 21, 2026
Accurate identification of cytochrome P450 proteins using multimodal integration of protein language models
Yonglin Zhang, Siyu Feng, Lezheng Yu, et al.
Nucleic Acids Research
|
April 9, 2008
Using support vector machine combined with auto covariance to predict protein-protein interactions from protein sequences
Yanzhi Guo, Lezheng Yu, Zhining Wen, et al.
Frontiers in Microbiology
|
February 8, 2021
DeepT3_4: A Hybrid Deep Neural Network Model for the Distinction Between Bacterial Type III and IV Secreted Effectors
Lezheng Yu, Fengjuan Liu, Yizhou Li, et al.
Iscience
|
November 25, 2022
layerUMAP: A tool for visualizing and understanding deep learning models in biological sequence classification using UMAP
Runyu Jing, Li Xue, Menglong Li, et al.
Molecular Therapy. Nucleic Acids
|
November 24, 2020
DeepACP: A Novel Computational Approach for Accurate Identification of Anticancer Peptides by Deep Learning Algorithm
Lezheng Yu, Runyu Jing, Fengjuan Liu, et al.
ACS Omega
|
June 12, 2023
Fast and Efficient Design of Deep Neural Networks for Predicting N<sup>7</sup>-Methylguanosine Sites Using autoBioSeqpy
Yonglin Zhang, Lezheng Yu, Runyu Jing, et al.
Computers in Biology and Medicine
|
August 13, 2013
In silico identification of Gram-negative bacterial secreted proteins from primary sequence
Lezheng Yu, Jiesi Luo, Yanzhi Guo, et al.
Frontiers in Microbiology
|
June 5, 2023
Evaluation and development of deep neural networks for RNA 5-Methyluridine classifications using autoBioSeqpy
Lezheng Yu, Yonglin Zhang, Li Xue, et al.
Plos One
|
April 16, 2025
Optimizing lipocalin sequence classification with ensemble deep learning models
Yonglin Zhang, Lezheng Yu, Li Xue, et al.
Journal of Advanced Research
|
November 3, 2022
The applications of deep learning algorithms on in silico druggable proteins identification
Lezheng Yu, Li Xue, Fengjuan Liu, et al.
Page
of 2