| Deep learning methods for protein torsion angle prediction H Li, J Hou, B Adhikari, Q Lyu, J Cheng BMC bioinformatics 18, 1-13, 2017 | 63 | 2017 |
| Predicting RNA secondary structure via adaptive deep recurrent neural networks with energy-based filter W Lu, Y Tang, H Wu, H Huang, Q Fu, J Qiu, H Li BMC bioinformatics 20, 1-10, 2019 | 31 | 2019 |
| PaFlexPepDock: Parallel Ab-Initio Docking of Peptides onto Their Receptors with Full Flexibility Based on Rosetta QL Haiou Li, Liyao Lu, Rong Chen, Lijun Quan, Xiaoyan Xia PLOS ONE 9 (5), e94769, 2014 | 15 | 2014 |
| A template-based protein structure reconstruction method using deep autoencoder learning H Li, Q Lyu, J Cheng Journal of proteomics & bioinformatics 9 (12), 306, 2016 | 14 | 2016 |
| Identify high-quality protein structural models by enhanced-means H Wu, H Li, M Jiang, C Chen, Q Lv, C Wu BioMed Research International 2017, 2017 | 13 | 2017 |
| Research on predicting 2D-HP protein folding using reinforcement learning with full state space H Wu, R Yang, Q Fu, J Chen, W Lu, H Li BMC bioinformatics 20, 1-11, 2019 | 11 | 2019 |
| Improved packing of protein side chains with parallel ant colonies et al. Quan L, Lü Q, Li H BMC bioinformatics 15 (S5), 2014 | 6 | 2014 |
| GPCR 跨膜螺旋的结构拓扑建模及其预测方法 吴宏杰， 吕强， 权丽君， 陈荣， 陈沙沙， 李海鸥， 钱培德 计算机学报 36 (10), 2168-2178, 2013 | 2 | 2013 |
| Modeling Protein Loop Structure by Cyclic Coordinate Descent-based Approach et al. Li H, Sun L, Luo S Journal of Computational Biology 23 (2), 123-136, 2016 | | 2016 |
