Renzhi Cao
Renzhi Cao
Assistant Professor at Pacific Lutheran University
Verified email at mail.missouri.edu - Homepage
Title
Cited by
Cited by
Year
An expanded evaluation of protein function prediction methods shows an improvement in accuracy
Y Jiang, TR Oron, WT Clark, AR Bankapur, D D’Andrea, R Lepore, ...
Genome biology 17 (1), 1-19, 2016
3002016
3Drefine: an interactive web server for efficient protein structure refinement
D Bhattacharya, J Nowotny, R Cao, J Cheng
Nucleic acids research 44 (W1), W406-W409, 2016
2332016
CONFOLD: Residue‐residue contact‐guided ab initio protein folding
B Adhikari, D Bhattacharya, R Cao, J Cheng
Proteins: Structure, Function, and Bioinformatics 83 (8), 1436-1449, 2015
1412015
DeepQA: improving the estimation of single protein model quality with deep belief networks
R Cao, D Bhattacharya, J Hou, J Cheng
BMC bioinformatics 17 (1), 1-9, 2016
1362016
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
N Zhou, Y Jiang, TR Bergquist, AJ Lee, BZ Kacsoh, AW Crocker, ...
Genome biology 20 (1), 1-23, 2019
1352019
ProLanGO: protein function prediction using neural machine translation based on a recurrent neural network
R Cao, C Freitas, L Chan, M Sun, H Jiang, Z Chen
Molecules 22 (10), 1732, 2017
1352017
Survey of machine learning techniques in drug discovery
N Stephenson, E Shane, J Chase, J Rowland, D Ries, N Justice, J Zhang, ...
Current drug metabolism 20 (3), 185-193, 2019
1072019
SMOQ: a tool for predicting the absolute residue-specific quality of a single protein model with support vector machines
R Cao, Z Wang, Y Wang, J Cheng
BMC bioinformatics 15 (issue 1), P 1, 2014
1002014
Protein tertiary structure modeling driven by deep learning and contact distance prediction in CASP13
J Hou, T Wu, R Cao, J Cheng
Proteins: Structure, Function, and Bioinformatics 87 (12), 1165-1178, 2019
962019
Protein single-model quality assessment by feature-based probability density functions
R Cao, J Cheng
Scientific reports 6 (1), 1-8, 2016
802016
Integrated protein function prediction by mining function associations, sequences, and protein–protein and gene–gene interaction networks
R Cao, J Cheng
Methods 93, 84-91, 2016
772016
QAcon: single model quality assessment using protein structural and contact information with machine learning techniques
R Cao, B Adhikari, D Bhattacharya, M Sun, J Hou, J Cheng
Bioinformatics 33 (4), 586-588, 2017
752017
Large-scale model quality assessment for improving protein tertiary structure prediction
R Cao, D Bhattacharya, B Adhikari, J Li, J Cheng
Bioinformatics 31 (12), i116-i123, 2015
592015
Deep learning to predict protein backbone structure from high-resolution cryo-EM density maps
D Si, SA Moritz, J Pfab, J Hou, R Cao, L Wang, T Wu, J Cheng
Scientific reports 10 (1), 1-22, 2020
472020
Designing and evaluating the MULTICOM protein local and global model quality prediction methods in the CASP10 experiment
R Cao, Z Wang, J Cheng
BMC structural biology 14 (1), 13, 2014
452014
A two-step discriminated method to identify thermophilic proteins
H Tang, RZ Cao, W Wang, TS Liu, LM Wang, CM He
International Journal of Biomathematics 10 (04), 1750050, 2017
442017
The properties of genome conformation and spatial gene interaction and regulation networks of normal and malignant human cell types
Z Wang, R Cao, K Taylor, A Briley, C Caldwell, J Cheng
PloS one 8 (3), e58793, 2013
352013
Three-level prediction of protein function by combining profile-sequence search, profile-profile search, and domain co-occurrence networks
JC Zheng Wang, Renzhi Cao
BMC Bioinformatics 14 (Suppl 3), S3, 2013
33*2013
UniCon3D: de novo protein structure prediction using united-residue conformational search via stepwise, probabilistic sampling
D Bhattacharya, R Cao, J Cheng
Bioinformatics 32 (18), 2791-2799, 2016
322016
GMOL: an interactive tool for 3D genome structure visualization
J Nowotny, A Wells, O Oluwadare, L Xu, R Cao, T Trieu, C He, J Cheng
Scientific reports 6 (1), 1-8, 2016
272016
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Articles 1–20