Chi Zhang
Chi Zhang
School of Biological Sciences, University of Nebraska, Lincoln, NE
Verified email at - Homepage
Cited by
Cited by
SVMTriP: A Method to Predict Antigenic Epitopes Using Support Vector Machine to Integrate Tri-Peptide Similarity and Propensity
B Yao, L Zhang, S Liang, C Zhang
PLOS ONE 7 (9), e45152, 2012
A knowledge-based energy function for protein− ligand, protein− protein, and protein− DNA complexes
C Zhang, S Liu, Q Zhu, Y Zhou
Journal of medicinal chemistry 48 (7), 2325-2335, 2005
Protein binding site prediction using an empirical scoring function
S Liang, C Zhang, S Liu, Y Zhou
Nucleic acids research 34 (13), 3698-3707, 2006
A physical reference state unifies the structure‐derived potential of mean force for protein folding and binding
S Liu, C Zhang, H Zhou, Y Zhou
Proteins: Structure, Function, and Bioinformatics 56 (1), 93-101, 2004
Regulation of miRNA abundance by RNA binding protein TOUGH in Arabidopsis
G Ren, M Xie, Y Dou, S Zhang, C Zhang, B Yu
Proceedings of the National Academy of Sciences 109 (31), 12817-12821, 2012
EPSVR and EPMeta: prediction of antigenic epitopes using support vector regression and multiple server results
S Liang, D Zheng, DM Standley, B Yao, M Zacharias, C Zhang
BMC bioinformatics 11 (1), 1-6, 2010
An accurate, residue‐level, pair potential of mean force for folding and binding based on the distance‐scaled, ideal‐gas reference state
C Zhang, S Liu, H Zhou, Y Zhou
Protein Science 13 (2), 400-411, 2004
PhosphoSVM: prediction of phosphorylation sites by integrating various protein sequence attributes with a support vector machine
Y Dou, B Yao, C Zhang
Amino acids 46, 1459-1469, 2014
Editing of an alpha-kafirin gene family increases, digestibility and protein quality in sorghum
A Li, S Jia, A Yobi, Z Ge, SJ Sato, C Zhang, R Angelovici, TE Clemente, ...
Plant physiology 177 (4), 1425-1438, 2018
Accurate and efficient loop selections by the DFIRE‐based all‐atom statistical potential
CHI Zhang, S Liu, Y Zhou
Protein science 13 (2), 391-399, 2004
Conformational B-cell epitope prediction on antigen protein structures: a review of current algorithms and comparison with common binding site prediction methods
B Yao, D Zheng, S Liang, C Zhang
PloS one 8 (4), e62249, 2013
Identification of differentially expressed genes between sorghum genotypes with contrasting nitrogen stress tolerance by genome-wide transcriptional profiling
M Gelli, Y Duo, AR Konda, C Zhang, D Holding, I Dweikat
BMC genomics 15, 1-16, 2014
Prediction of antigenic epitopes on protein surfaces by consensus scoring
S Liang, D Zheng, C Zhang, M Zacharias
BMC bioinformatics 10 (1), 1-10, 2009
Heat stress yields a unique MADS box transcription factor in determining seed size and thermal sensitivity
C Chen, K Begcy, K Liu, JJ Folsom, Z Wang, C Zhang, H Walia
Plant physiology 171 (1), 606-622, 2016
Allelic variants of OsHKT1; 1 underlie the divergence between indica and japonica subspecies of rice (Oryza sativa) for root sodium content
MT Campbell, N Bandillo, FRA Al Shiblawi, S Sharma, K Liu, Q Du, ...
PLoS genetics 13 (6), e1006823, 2017
The Pseudomonas syringae type III effector HopD1 suppresses effector‐triggered immunity, localizes to the endoplasmic reticulum, and targets the Arabidopsis …
A Block, TY Toruño, CG Elowsky, C Zhang, J Steinbrenner, J Beynon, ...
New Phytologist 201 (4), 1358-1370, 2014
Sharpening low-energy, standard-model tests via correlation coefficients in neutron β decay
S Gardner, C Zhang
Physical Review Letters 86 (25), 5666-5669, 2001
Fold recognition by concurrent use of solvent accessibility and residue depth
S Liu, C Zhang, S Liang, Y Zhou
Proteins: Structure, Function, and Bioinformatics 68 (3), 636-645, 2007
Distinct Pseudomonas type‐III effectors use a cleavable transit peptide to target chloroplasts
G Li, JE Froehlich, C Elowsky, J Msanne, AC Ostosh, C Zhang, T Awada, ...
The Plant Journal 77 (2), 310-321, 2014
DFVF: database of fungal virulence factors
T Lu, B Yao, C Zhang
Database 2012, 2012
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