| End-point binding free energy calculation with MM/PBSA and MM/GBSA: strategies and applications in drug design E Wang, H Sun, J Wang, Z Wang, H Liu, JZH Zhang, T Hou Chemical reviews 119 (16), 9478-9508, 2019 | 1190 | 2019 |
| Assessing the performance of the MM/PBSA and MM/GBSA methods. 6. Capability to predict protein–protein binding free energies and re-rank binding poses generated by protein … F Chen, H Liu, H Sun, P Pan, Y Li, D Li, T Hou Physical Chemistry Chemical Physics 18 (32), 22129-22139, 2016 | 388 | 2016 |
| HawkDock: a web server to predict and analyze the protein–protein complex based on computational docking and MM/GBSA G Weng, E Wang, Z Wang, H Liu, F Zhu, D Li, T Hou Nucleic acids research 47 (W1), W322-W330, 2019 | 378 | 2019 |
| Cassava genome from a wild ancestor to cultivated varieties W Wang, B Feng, J Xiao, Z Xia, X Zhou, P Li, W Zhang, Y Wang, BL Møller, ... Nature communications 5 (1), 5110, 2014 | 277 | 2014 |
| Assessing the performance of MM/PBSA and MM/GBSA methods. 7. Entropy effects on the performance of end-point binding free energy calculation approaches H Sun, L Duan, F Chen, H Liu, Z Wang, P Pan, F Zhu, JZH Zhang, T Hou Physical Chemistry Chemical Physics 20 (21), 14450-14460, 2018 | 274 | 2018 |
| Improving compound–protein interaction prediction by building up highly credible negative samples H Liu, J Sun, J Guan, J Zheng, S Zhou Bioinformatics 31 (12), i221-i229, 2015 | 246 | 2015 |
| DrugCombDB: a comprehensive database of drug combinations toward the discovery of combinatorial therapy H Liu, W Zhang, B Zou, J Wang, Y Deng, L Deng Nucleic acids research 48 (D1), D871-D881, 2020 | 148 | 2020 |
| SynLethDB: synthetic lethality database toward discovery of selective and sensitive anticancer drug targets J Guo, H Liu, J Zheng Nucleic acids research 44 (D1), D1011-D1017, 2016 | 144 | 2016 |
| CaFE: a tool for binding affinity prediction using end-point free energy methods H Liu, T Hou Bioinformatics 32 (14), 2216-2218, 2016 | 126 | 2016 |
| ADMET evaluation in drug discovery. 16. Predicting hERG blockers by combining multiple pharmacophores and machine learning approaches S Wang, H Sun, H Liu, D Li, Y Li, T Hou Molecular pharmaceutics 13 (8), 2855-2866, 2016 | 104 | 2016 |
| DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations J Wang, X Liu, S Shen, L Deng, H Liu Briefings in Bioinformatics 23 (1), bbab390, 2022 | 91 | 2022 |
| Assessing the performance of MM/PBSA and MM/GBSA methods. 8. Predicting binding free energies and poses of protein–RNA complexes F Chen, H Sun, J Wang, F Zhu, H Liu, Z Wang, T Lei, Y Li, T Hou Rna 24 (9), 1183-1194, 2018 | 87 | 2018 |
| A new hybrid method for learning bayesian networks: Separation and reunion H Liu, S Zhou, W Lam, J Guan Knowledge-Based Systems 121, 185-197, 2017 | 86 | 2017 |
| Inferring new indications for approved drugs via random walk on drug-disease heterogenous networks H Liu, Y Song, J Guan, L Luo, Z Zhuang BMC bioinformatics 17, 269-277, 2016 | 80 | 2016 |
| ADMET evaluation in drug discovery. 18. Reliable prediction of chemical-induced urinary tract toxicity by boosting machine learning approaches T Lei, H Sun, Y Kang, F Zhu, H Liu, W Zhou, Z Wang, D Li, Y Li, T Hou Molecular pharmaceutics 14 (11), 3935-3953, 2017 | 79 | 2017 |
| ADMET evaluation in drug discovery. Part 17: development of quantitative and qualitative prediction models for chemical-induced respiratory toxicity T Lei, F Chen, H Liu, H Sun, Y Kang, D Li, Y Li, T Hou Molecular pharmaceutics 14 (7), 2407-2421, 2017 | 67 | 2017 |
| Anti-aging effect of polysaccharide from Bletilla striata on nematode Caenorhabditis elegans Y Zhang, T Lv, M Li, T Xue, H Liu, W Zhang, X Ding, Z Zhuang Pharmacognosy magazine 11 (43), 449, 2015 | 63 | 2015 |
| HawkRank: a new scoring function for protein–protein docking based on weighted energy terms T Feng, F Chen, Y Kang, H Sun, H Liu, D Li, F Zhu, T Hou Journal of cheminformatics 9, 1-15, 2017 | 58 | 2017 |
| Beneficial effects of wheat gluten hydrolysate to extend lifespan and induce stress resistance in nematode Caenorhabditis elegans W Zhang, T Lv, M Li, Q Wu, L Yang, H Liu, D Sun, L Sun, Z Zhuang, ... PLoS One 8 (9), e74553, 2013 | 53 | 2013 |
| Function of RSKS-1-AAK-2-DAF-16 signaling cascade in enhancing toxicity of multi-walled carbon nanotubes can be suppressed by mir-259 activation in Caenorhabditis elegans Z Zhuang, M Li, H Liu, L Luo, W Gu, Q Wu, D Wang Scientific reports 6 (1), 32409, 2016 | 51 | 2016 |
Jihong GuanProfessor of Computer Science, Tongji UniversityVerified email at tongji.edu.cn
