| 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 | 360 | 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 | 318 | 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), 1-23, 2019 | 254 | 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 | 175 | 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 | 174 | 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 | 167 | 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 | 160 | 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 | 138 | 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 | 107 | 2014 |
| 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 | 89 | 2017 |
| Protein single-model quality assessment by feature-based probability density functions R Cao, J Cheng Scientific reports 6 (1), 1-8, 2016 | 85 | 2016 |
| 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 | 82 | 2016 |
| 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 | 76 | 2020 |
| 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 | 65 | 2015 |
| 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 | 56 | 2017 |
| 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 | 49 | 2021 |
| 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 | 45 | 2014 |
| 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 | 43 | 2016 |
| 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 | 42 | 2013 |
| 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 | 37 | 2021 |
Jianlin ChengWilliam and Nancy Thompson Professor, University of MissouriVerified email at missouri.edu
