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Bioinformatics (Oxford, England)
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April 24, 2026
Supervised fine-tuning enhances unsupervised learning from 45 million amino acids in TCR and peptide sequences
Kewei Zhou, Kai Xu, Shaolong Lin, et al.
Journal of Environmental Management
|
March 2, 2018
Rice-duck co-culture for reducing negative impacts of biogas slurry application in rice production systems
Haishui Yang, Degui Yu, Jiajia Zhou, et al.
Drug Discovery Today
|
January 22, 2025
Artificial intelligence in peptide-based drug design
Silong Zhai, Tiantao Liu, Shaolong Lin, et al.
Journal of Chemical Information and Modeling
|
December 4, 2023
Efficient Computational Framework for Target-Specific Active Peptide Discovery: A Case Study on IL-17C Targeting Cyclic Peptides
Zhipeng Wu, Yejian Wu, Cheng Zhu, et al.
Journal of Chemical Information and Modeling
|
April 4, 2026
High-PepBinder: A pLM-Guided Latent Diffusion Framework for Affinity-Aware Target-Specific Peptide Design
Qingyi Mao, Silong Zhai, Sen Cao, et al.
European Journal of Medicinal Chemistry
|
June 30, 2024
PepExplainer: An explainable deep learning model for selection-based macrocyclic peptide bioactivity prediction and optimization
Silong Zhai, Yahong Tan, Cheng Zhu, et al.
Journal of Chemical Theory and Computation
|
April 21, 2025
NCPepFold: Accurate Prediction of Noncanonical Cyclic Peptide Structures via Cyclization Optimization with Multigranular Representation
Qingyi Mao, Tianfeng Shang, Wen Xu, et al.
Journal of Medicinal Chemistry
|
January 25, 2024
Multi_CycGT: A Deep Learning-Based Multimodal Model for Predicting the Membrane Permeability of Cyclic Peptides
Lujing Cao, Zhenyu Xu, Tianfeng Shang, et al.
Journal of Medicinal Chemistry
|
July 22, 2023
PepScaf: Harnessing Machine Learning with In Vitro Selection toward De Novo Macrocyclic Peptides against IL-17C/IL-17RE Interaction
Silong Zhai, Yahong Tan, Chengyun Zhang, et al.
Communications Chemistry
|
January 21, 2026
An artificial intelligence-driven synthesis planning platform (PhotoCat) for photocatalysis
Jiangcheng Xu, Silong Zhai, Panyi Huang, et al.
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Search research articles
Search
Showing results (1-10 of 14) with videos related to
Sort By:
Page
of 2
Bioinformatics (Oxford, England)
|
April 24, 2026
Supervised fine-tuning enhances unsupervised learning from 45 million amino acids in TCR and peptide sequences
Kewei Zhou, Kai Xu, Shaolong Lin, et al.
Journal of Environmental Management
|
March 2, 2018
Rice-duck co-culture for reducing negative impacts of biogas slurry application in rice production systems
Haishui Yang, Degui Yu, Jiajia Zhou, et al.
Drug Discovery Today
|
January 22, 2025
Artificial intelligence in peptide-based drug design
Silong Zhai, Tiantao Liu, Shaolong Lin, et al.
Journal of Chemical Information and Modeling
|
December 4, 2023
Efficient Computational Framework for Target-Specific Active Peptide Discovery: A Case Study on IL-17C Targeting Cyclic Peptides
Zhipeng Wu, Yejian Wu, Cheng Zhu, et al.
Journal of Chemical Information and Modeling
|
April 4, 2026
High-PepBinder: A pLM-Guided Latent Diffusion Framework for Affinity-Aware Target-Specific Peptide Design
Qingyi Mao, Silong Zhai, Sen Cao, et al.
European Journal of Medicinal Chemistry
|
June 30, 2024
PepExplainer: An explainable deep learning model for selection-based macrocyclic peptide bioactivity prediction and optimization
Silong Zhai, Yahong Tan, Cheng Zhu, et al.
Journal of Chemical Theory and Computation
|
April 21, 2025
NCPepFold: Accurate Prediction of Noncanonical Cyclic Peptide Structures via Cyclization Optimization with Multigranular Representation
Qingyi Mao, Tianfeng Shang, Wen Xu, et al.
Journal of Medicinal Chemistry
|
January 25, 2024
Multi_CycGT: A Deep Learning-Based Multimodal Model for Predicting the Membrane Permeability of Cyclic Peptides
Lujing Cao, Zhenyu Xu, Tianfeng Shang, et al.
Journal of Medicinal Chemistry
|
July 22, 2023
PepScaf: Harnessing Machine Learning with In Vitro Selection toward De Novo Macrocyclic Peptides against IL-17C/IL-17RE Interaction
Silong Zhai, Yahong Tan, Chengyun Zhang, et al.
Communications Chemistry
|
January 21, 2026
An artificial intelligence-driven synthesis planning platform (PhotoCat) for photocatalysis
Jiangcheng Xu, Silong Zhai, Panyi Huang, et al.
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