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Biomolecules
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July 27, 2022
Compositional Bias of Intrinsically Disordered Proteins and Regions and Their Predictions
Bi Zhao, Lukasz Kurgan
Expert Review of Proteomics
|
December 13, 2021
Surveying over 100 predictors of intrinsic disorder in proteins
Bi Zhao, Lukasz Kurgan
Methods in Molecular Biology (Clifton, N.J.)
|
July 29, 2025
Prediction of Intrinsically Disordered Lipid Binding Residues with DisoLipPred
Bi Zhao, Lukasz Kurgan
International Journal of Molecular Sciences
|
October 11, 2018
Decision-Tree Based Meta-Strategy Improved Accuracy of Disorder Prediction and Identified Novel Disordered Residues Inside Binding Motifs
Bi Zhao, Bin Xue
Genomics
|
April 25, 2017
Improving prediction accuracy using decision-tree-based meta-strategy and multi-threshold sequential-voting exemplified by miRNA target prediction
Bi Zhao, Bin Xue
Clinical and Experimental Dental Research
|
March 31, 2026
Deep Learning-Enhanced Resonance Frequency Analysis for Dental Implant Stability Assessment
Zheng Cao, Bi Zhao
Computational and Structural Biotechnology Journal
|
March 31, 2022
Deep learning in prediction of intrinsic disorder in proteins
Bi Zhao, Lukasz Kurgan
BMC Genomics
|
September 3, 2016
Self-regulation of functional pathways by motifs inside the disordered tails of beta-catenin
Bi Zhao, Bin Xue
Data in Brief
|
August 11, 2017
Consensus datasets of mouse miRNA-mRNA interactions from multiple online resources
Bi Zhao, Bin Xue
BMC Genomics
|
March 1, 2019
Significant improvement of miRNA target prediction accuracy in large datasets using meta-strategy based on comprehensive voting and artificial neural networks
Bi Zhao, Bin Xue
Page
of 22
Search research articles
Search
Showing results (1-10 of 217) with videos related to
Sort By:
Page
of 22
Biomolecules
|
July 27, 2022
Compositional Bias of Intrinsically Disordered Proteins and Regions and Their Predictions
Bi Zhao, Lukasz Kurgan
Expert Review of Proteomics
|
December 13, 2021
Surveying over 100 predictors of intrinsic disorder in proteins
Bi Zhao, Lukasz Kurgan
Methods in Molecular Biology (Clifton, N.J.)
|
July 29, 2025
Prediction of Intrinsically Disordered Lipid Binding Residues with DisoLipPred
Bi Zhao, Lukasz Kurgan
International Journal of Molecular Sciences
|
October 11, 2018
Decision-Tree Based Meta-Strategy Improved Accuracy of Disorder Prediction and Identified Novel Disordered Residues Inside Binding Motifs
Bi Zhao, Bin Xue
Genomics
|
April 25, 2017
Improving prediction accuracy using decision-tree-based meta-strategy and multi-threshold sequential-voting exemplified by miRNA target prediction
Bi Zhao, Bin Xue
Clinical and Experimental Dental Research
|
March 31, 2026
Deep Learning-Enhanced Resonance Frequency Analysis for Dental Implant Stability Assessment
Zheng Cao, Bi Zhao
Computational and Structural Biotechnology Journal
|
March 31, 2022
Deep learning in prediction of intrinsic disorder in proteins
Bi Zhao, Lukasz Kurgan
BMC Genomics
|
September 3, 2016
Self-regulation of functional pathways by motifs inside the disordered tails of beta-catenin
Bi Zhao, Bin Xue
Data in Brief
|
August 11, 2017
Consensus datasets of mouse miRNA-mRNA interactions from multiple online resources
Bi Zhao, Bin Xue
BMC Genomics
|
March 1, 2019
Significant improvement of miRNA target prediction accuracy in large datasets using meta-strategy based on comprehensive voting and artificial neural networks
Bi Zhao, Bin Xue
Page
of 22