| ADMET evaluation in drug discovery: 15. Accurate prediction of rat oral acute toxicity using relevance vector machine and consensus modeling T Lei, Y Li, Y Song, D Li, H Sun, T Hou Journal of cheminformatics 8, 1-19, 2016 | 139 | 2016 |
| ADMET evaluation in drug discovery. 19. Reliable prediction of human cytochrome P450 inhibition using artificial intelligence approaches Z Wu, T Lei, C Shen, Z Wang, D Cao, T Hou Journal of chemical information and modeling 59 (11), 4587-4601, 2019 | 102 | 2019 |
| Do we need different machine learning algorithms for QSAR modeling? A comprehensive assessment of 16 machine learning algorithms on 14 QSAR data sets Z Wu, M Zhu, Y Kang, ELH Leung, T Lei, C Shen, D Jiang, Z Wang, D Cao, ... Briefings in bioinformatics 22 (4), bbaa321, 2021 | 101 | 2021 |
| 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 | 90 | 2018 |
| 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 | 80 | 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 | 68 | 2017 |
| farPPI: a webserver for accurate prediction of protein-ligand binding structures for small-molecule PPI inhibitors by MM/PB (GB) SA methods Z Wang, X Wang, Y Li, T Lei, E Wang, D Li, Y Kang, F Zhu, T Hou Bioinformatics 35 (10), 1777-1779, 2019 | 65 | 2019 |
| ADMET evaluation in drug discovery. 20. Prediction of breast cancer resistance protein inhibition through machine learning D Jiang, T Lei, Z Wang, C Shen, D Cao, T Hou Journal of Cheminformatics 12, 1-26, 2020 | 59 | 2020 |
| Comprehensive assessment of nine docking programs on type II kinase inhibitors: prediction accuracy of sampling power, scoring power and screening power C Shen, Z Wang, X Yao, Y Li, T Lei, E Wang, L Xu, F Zhu, D Li, T Hou Briefings in bioinformatics 21 (1), 282-297, 2020 | 33 | 2020 |
| Reliability of docking-based virtual screening for GPCR ligands with homology modeled structures: A case study of the angiotensin II type I receptor H Chen, W Fu, Z Wang, X Wang, T Lei, F Zhu, D Li, S Chang, L Xu, T Hou ACS Chemical Neuroscience 10 (1), 677-689, 2018 | 30 | 2018 |
| Importance of protein flexibility on molecular recognition: modeling binding mechanisms of aminopyrazine inhibitors to Nek2 X Tang, Z Wang, T Lei, W Zhou, S Chang, D Li Physical Chemistry Chemical Physics 20 (8), 5591-5605, 2018 | 21 | 2018 |
| Importance of Incorporating Protein Flexibility in Molecule Modeling: A Theoretical Study on Type I1/2 NIK Inhibitors C Shen, H Liu, X Wang, T Lei, E Wang, L Xu, H Yu, D Li, X Yao Frontiers in Pharmacology 10, 345, 2019 | 12 | 2019 |
| Structural basis of PER-1-mediated cefiderocol resistance and synergistic inhibition of PER-1 by cefiderocol in combination with avibactam or durlobactam in Acinetobacter baumannii X Liu, T Lei, Y Yang, L Zhang, H Liu, S Leptihn, Y Yu, X Hua Antimicrobial Agents and Chemotherapy 66 (12), e00828-22, 2022 | 9 | 2022 |
| A novel KPC-113 variant conferring carbapenem and ceftazidime-avibactam resistance in a multidrug-resistant Pseudomonas aeruginosa isolate Q Yang, Y Li, L Fang, T Lei, H Cai, X Hua, M Zheng, Y Yu Clinical Microbiology and Infection 29 (3), 387. e7-387. e14, 2023 | 6 | 2023 |
| A novel CMY variant confers transferable high-level resistance to ceftazidime-avibactam in multidrug-resistant Escherichia coli J Zhou, W Wang, M Liang, Q Yu, S Cai, T Lei, Y Jiang, X Du, Z Zhou, Y Yu Microbiology Spectrum 11 (2), e03349-22, 2023 | 3 | 2023 |
| Genomic epidemiology and ceftazidime-avibactam high-level resistance mechanisms of Pseudomonas aeruginosa in China from 2010-2022 X Li, L Zhou, T Lei, X Zhang, J Yao, J He, H Liu, H Cai, J Ji, Y Zhu, Y Tu, ... Emerging Microbes & Infections, 2324068, 2024 | 1 | 2024 |
| Characterization of two novel VIM-type metallo-β-lactamases, VIM-84 and VIM-85, associated with the spread of IncP-2 megaplasmids in Pseudomonas aeruginosa N Wang, T Lei, Y Zhu, Y Li, H Cai, P Zhang, S Leptihn, J Zhou, H Ke, ... Microbiology Spectrum 11 (5), e01544-23, 2023 | 1 | 2023 |
Tingjun HouProfessor of Pharmaceutical Science, Zhejiang UniversityVerified email at zju.edu.cn
