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Bi Zhao
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How many differentially expressed genes: a perspective from the comparison of genotypic and phenotypic distances
B Zhao, A Erwin, B Xue
Genomics 110 (1), 67-73, 2018
682018
DescribePROT: database of amino acid-level protein structure and function predictions
B Zhao, A Katuwawala, CJ Oldfield, AK Dunker, E Faraggi, J Gsponer, ...
Nucleic Acids Research 49 (D1), D298-D308, 2021
492021
DeepDISOBind: accurate prediction of RNA-, DNA-and protein-binding intrinsically disordered residues with deep multi-task learning
F Zhang, B Zhao, W Shi, M Li, L Kurgan
Briefings in bioinformatics 23 (1), bbab521, 2022
422022
DisoLipPred: accurate prediction of disordered lipid-binding residues in protein sequences with deep recurrent networks and transfer learning
A Katuwawala, B Zhao, L Kurgan
Bioinformatics 38 (1), 115-124, 2022
362022
Deep learning in prediction of intrinsic disorder in proteins
B Zhao, L Kurgan
Computational and Structural Biotechnology Journal 20, 1286-1294, 2022
252022
Surveying over 100 predictors of intrinsic disorder in proteins
B Zhao, L Kurgan
Expert Review of Proteomics 18 (12), 1019-1029, 2021
252021
Intrinsic disorder in human RNA-binding proteins
B Zhao, A Katuwawala, CJ Oldfield, G Hu, Z Wu, VN Uversky, L Kurgan
Journal of Molecular Biology 433 (21), 167229, 2021
252021
IDPology of the living cell: intrinsic disorder in the subcellular compartments of the human cell
B Zhao, A Katuwawala, VN Uversky, L Kurgan
Cellular and Molecular Life Sciences 78, 2371-2385, 2021
232021
Compositional bias of intrinsically disordered proteins and regions and their predictions
B Zhao, L Kurgan
Biomolecules 12 (7), 888, 2022
142022
Decision-tree based meta-strategy improved accuracy of disorder prediction and identified novel disordered residues inside binding motifs
B Zhao, B Xue
International Journal of Molecular Sciences 19 (10), 3052, 2018
122018
Improving prediction accuracy using decision-tree-based meta-strategy and multi-threshold sequential-voting exemplified by miRNA target prediction
B Zhao, B Xue
Genomics 109 (3-4), 227-232, 2017
122017
CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins
A Del Conte, A Bouhraoua, M Mehdiabadi, D Clementel, AM Monzon, ...
Nucleic Acids Research 51 (W1), W62-W69, 2023
112023
Self-regulation of functional pathways by motifs inside the disordered tails of beta-catenin
B Zhao, B Xue
BMC genomics 17, 513-526, 2016
112016
Computational disorder analysis in ethylene response factors uncovers binding motifs critical to their diverse functions
X Sun, N Malhis, B Zhao, B Xue, J Gsponer, EHA Rikkerink
International Journal of Molecular Sciences 21 (1), 74, 2019
92019
Significant improvement of miRNA target prediction accuracy in large datasets using meta-strategy based on comprehensive voting and artificial neural networks
B Zhao, B Xue
BMC genomics 20, 1-17, 2019
92019
Analyzing aggregation propensities of clinically relevant PTEN mutants: a new culprit in pathogenesis of cancer and other PTENopathies
E Palumbo, B Zhao, B Xue, VN Uversky, V Davé
Journal of Biomolecular Structure and Dynamics, 2019
82019
Machine learning for intrinsic disorder prediction
B Zhao, L Kurgan
Machine Learning in Bioinformatics of Protein Sequences: Algorithms …, 2023
62023
CLIP: accurate prediction of disordered linear interacting peptides from protein sequences using co-evolutionary information
Z Peng, Z Li, Q Meng, B Zhao, L Kurgan
Briefings in Bioinformatics 24 (1), bbac502, 2023
62023
Comparative evaluation of AlphaFold2 and disorder predictors for prediction of intrinsic disorder, disorder content and fully disordered proteins
B Zhao, S Ghadermarzi, L Kurgan
Computational and Structural Biotechnology Journal 21, 3248-3258, 2023
52023
Tutorial: a guide for the selection of fast and accurate computational tools for the prediction of intrinsic disorder in proteins
L Kurgan, G Hu, K Wang, S Ghadermarzi, B Zhao, N Malhis, G Erdős, ...
Nature Protocols 18 (11), 3157-3172, 2023
42023
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