Renzhi Cao
Renzhi Cao
Assistant Professor at Pacific Lutheran University
Verified email at - Homepage
Cited by
Cited by
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, 1-19, 2016
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
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, 1-23, 2019
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
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
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
DeepQA: improving the estimation of single protein model quality with deep belief networks
R Cao, D Bhattacharya, J Hou, J Cheng
BMC bioinformatics 17, 1-9, 2016
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
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
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), 4282, 2020
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
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
Protein single-model quality assessment by feature-based probability density functions
R Cao, J Cheng
Scientific reports 6 (1), 23990, 2016
Application of artificial intelligence and machine learning for COVID-19 drug discovery and vaccine design
H Lv, L Shi, JW Berkenpas, FY Dao, H Zulfiqar, H Ding, Y Zhang, L Yang, ...
Briefings in bioinformatics 22 (6), bbab320, 2021
Cryo-EM model validation recommendations based on outcomes of the 2019 EMDataResource challenge
CL Lawson, A Kryshtafovych, PD Adams, PV Afonine, ML Baker, ...
Nature methods 18 (2), 156-164, 2021
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
Survey of AI in cybersecurity for information technology management
L Chan, I Morgan, H Simon, F Alshabanat, D Ober, J Gentry, D Min, R Cao
2019 IEEE technology & engineering management conference (TEMSCON), 1-8, 2019
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
A Glycine max sodium/hydrogen exchanger enhances salt tolerance through maintaining higher Na+ efflux rate and K+/Na+ ratio in Arabidopsis
TJ Sun, L Fan, J Yang, RZ Cao, CY Yang, J Zhang, DM Wang
BMC plant biology 19, 1-10, 2019
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
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