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Briefings in Bioinformatics
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July 6, 2021
Improving protein fold recognition using triplet network and ensemble deep learning
Yan Liu, Ke Han, Yi-Heng Zhu, et al.
Genome Biology
|
February 14, 2026
Predicting disease-specific histone modifications and functional effects of non-coding variants by leveraging DNA language models
Xiaoyu Wang, Tong Pan, Sihan Chen, et al.
Briefings in Bioinformatics
|
June 14, 2018
iProt-Sub: a comprehensive package for accurately mapping and predicting protease-specific substrates and cleavage sites
Jiangning Song, Yanan Wang, Fuyi Li, et al.
Briefings in Bioinformatics
|
May 5, 2020
Computational prediction and interpretation of both general and specific types of promoters in Escherichia coli by exploiting a stacked ensemble-learning framework
Fuyi Li, Jinxiang Chen, Zongyuan Ge, et al.
Plos One
|
December 5, 2012
PROSPER: an integrated feature-based tool for predicting protease substrate cleavage sites
Jiangning Song, Hao Tan, Andrew J Perry, et al.
Current Environmental Health Reports
|
December 1, 2023
Health Impacts of Wildfire Smoke on Children and Adolescents: A Systematic Review and Meta-analysis
Yiwen Zhang, Ye Tingting, Wenzhong Huang, et al.
Nucleic Acids Research
|
October 28, 2023
TADB 3.0: an updated database of bacterial toxin-antitoxin loci and associated mobile genetic elements
Jiahao Guan, Yongkui Chen, Ying-Xian Goh, et al.
Protein Expression and Purification
|
July 3, 2015
Significantly improving the yield of recombinant proteins in Bacillus subtilis by a novel powerful mutagenesis tool (ARTP): Alkaline α-amylase as a case study
Yingfang Ma, Haiquan Yang, Xianzhong Chen, et al.
Journal of Chemical Information and Modeling
|
July 28, 2025
MutPNI: A Unified Model Architecture for Accurately Predicting the Effects of Mutations on Protein-Nucleic Acid Interactions
Zihao Yan, Fang Ge, Ying Zhang, et al.
Briefings in Bioinformatics
|
May 7, 2023
ATTIC is an integrated approach for predicting A-to-I RNA editing sites in three species
Ruyi Chen, Fuyi Li, Xudong Guo, et al.
Page
of 33
Search research articles
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Showing results (171-180 of 329) with videos related to
Sort By:
Page
of 33
Briefings in Bioinformatics
|
July 6, 2021
Improving protein fold recognition using triplet network and ensemble deep learning
Yan Liu, Ke Han, Yi-Heng Zhu, et al.
Genome Biology
|
February 14, 2026
Predicting disease-specific histone modifications and functional effects of non-coding variants by leveraging DNA language models
Xiaoyu Wang, Tong Pan, Sihan Chen, et al.
Briefings in Bioinformatics
|
June 14, 2018
iProt-Sub: a comprehensive package for accurately mapping and predicting protease-specific substrates and cleavage sites
Jiangning Song, Yanan Wang, Fuyi Li, et al.
Briefings in Bioinformatics
|
May 5, 2020
Computational prediction and interpretation of both general and specific types of promoters in Escherichia coli by exploiting a stacked ensemble-learning framework
Fuyi Li, Jinxiang Chen, Zongyuan Ge, et al.
Plos One
|
December 5, 2012
PROSPER: an integrated feature-based tool for predicting protease substrate cleavage sites
Jiangning Song, Hao Tan, Andrew J Perry, et al.
Current Environmental Health Reports
|
December 1, 2023
Health Impacts of Wildfire Smoke on Children and Adolescents: A Systematic Review and Meta-analysis
Yiwen Zhang, Ye Tingting, Wenzhong Huang, et al.
Nucleic Acids Research
|
October 28, 2023
TADB 3.0: an updated database of bacterial toxin-antitoxin loci and associated mobile genetic elements
Jiahao Guan, Yongkui Chen, Ying-Xian Goh, et al.
Protein Expression and Purification
|
July 3, 2015
Significantly improving the yield of recombinant proteins in Bacillus subtilis by a novel powerful mutagenesis tool (ARTP): Alkaline α-amylase as a case study
Yingfang Ma, Haiquan Yang, Xianzhong Chen, et al.
Journal of Chemical Information and Modeling
|
July 28, 2025
MutPNI: A Unified Model Architecture for Accurately Predicting the Effects of Mutations on Protein-Nucleic Acid Interactions
Zihao Yan, Fang Ge, Ying Zhang, et al.
Briefings in Bioinformatics
|
May 7, 2023
ATTIC is an integrated approach for predicting A-to-I RNA editing sites in three species
Ruyi Chen, Fuyi Li, Xudong Guo, et al.
Page
of 33