Gang Hu
Gang Hu
Associate Professor of Bioinformatics, Nankai University
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Exceptionally abundant exceptions: comprehensive characterization of intrinsic disorder in all domains of life
Z Peng, J Yan, X Fan, MJ Mizianty, B Xue, K Wang, G Hu, VN Uversky, ...
Cellular and Molecular Life Sciences 72 (1), 137-151, 2015
Human structural proteome-wide characterization of Cyclosporine A targets
G Hu, K Wang, J Groenendyk, K Barakat, MJ Mizianty, J Ruan, ...
Bioinformatics 30 (24), 3561-3566, 2014
Data denoising with transfer learning in single-cell transcriptomics
J Wang, D Agarwal, M Huang, G Hu, Z Zhou, C Ye, NR Zhang
Nature methods 16 (9), 875-878, 2019
Functional analysis of human hub proteins and their interactors involved in the intrinsic disorder-enriched interactions
G Hu, Z Wu, VN Uversky, L Kurgan
International journal of molecular sciences 18 (12), 2761, 2017
Untapped potential of disordered proteins in current druggable human proteome
G Hu, Z Wu, K Wang, V N Uversky, L Kurgan
Current drug targets 17 (10), 1198-1205, 2016
In various protein complexes, disordered protomers have large per-residue surface areas and area of protein-, DNA-and RNA-binding interfaces
Z Wu, G Hu, J Yang, Z Peng, VN Uversky, L Kurgan
FEBS letters 589 (19), 2561-2569, 2015
Improved species-specific lysine acetylation site prediction based on a large variety of features set
Q Wuyun, W Zheng, Y Zhang, J Ruan, G Hu
PloS one 11 (5), e0155370, 2016
PDID: database of molecular-level putative protein–drug interactions in the structural human proteome
C Wang, G Hu, K Wang, M Brylinski, L Xie, L Kurgan
Bioinformatics 32 (4), 579-586, 2016
Taxonomic landscape of the dark proteomes: Whole‐proteome scale interplay between structural darkness, intrinsic disorder, and crystallization propensity
G Hu, K Wang, J Song, VN Uversky, L Kurgan
Proteomics 18 (21-22), 1800243, 2018
Finding protein targets for small biologically relevant ligands across fold space using inverse ligand binding predictions
G Hu, J Gao, K Wang, MJ Mizianty, J Ruan, L Kurgan
Structure 20 (11), 1815-1822, 2012
Analysis of conformational B-cell epitopes in the antibody-antigen complex using the depth function and the convex hull
W Zheng, J Ruan, G Hu, K Wang, M Hanlon, J Gao
PloS one 10 (8), e0134835, 2015
Deep learning enables accurate clustering with batch effect removal in single-cell RNA-seq analysis
X Li, K Wang, Y Lyu, H Pan, J Zhang, D Stambolian, K Susztak, MP Reilly, ...
Nature communications 11 (1), 1-14, 2020
Quality assessment for the putative intrinsic disorder in proteins
G Hu, Z Wu, CJ Oldfield, C Wang, L Kurgan
Bioinformatics 35 (10), 1692-1700, 2019
What are the structural features that drive partitioning of proteins in aqueous two-phase systems?
Z Wu, G Hu, K Wang, BY Zaslavsky, L Kurgan, VN Uversky
Biochimica et Biophysica Acta (BBA)-Proteins and Proteomics 1865 (1), 113-120, 2017
An accurate method for prediction of protein-ligand binding site on protein surface using SVM and statistical depth function
K Wang, J Gao, S Shen, JA Tuszynski, J Ruan, G Hu
BioMed research international 2013, 2013
Sequence Similarity Searching
G Hu, L Kurgan
Current protocols in protein science 95 (1), e71, 2019
PennDiff: detecting differential alternative splicing and transcription by RNA sequencing
Y Hu, J Lin, J Hu, G Hu, K Wang, H Zhang, MP Reilly, M Li
Bioinformatics 34 (14), 2384-2391, 2018
Exploratory analysis of quality assessment of putative intrinsic disorder in proteins
Z Wu, G Hu, K Wang, L Kurgan
International Conference on Artificial Intelligence and Soft Computing, 722-732, 2017
On the alignment space
SY Shen, K Wang, G Hu, LS Chen, H Zhang, ST Xia
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 244-247, 2006
Improved prediction of protein crystallization, purification and production propensity using hybrid sequence representation
J Gao, G Hu, Z Wu, J Ruan, S Shen, M Hanlon, K Wang
Current Bioinformatics 9 (1), 57-64, 2014
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20