Hou T - Search Results

1

Knowledge-based BERT: a method to extract molecular features like computational chemists.

Wu Z, Jiang D, Wang J, Zhang X, Du H, Pan L, Hsieh CY, Cao D, Hou T. Wu Z, et al. Among authors: hou t. Brief Bioinform. 2022 May 13;23(3):bbac131. doi: 10.1093/bib/bbac131. Brief Bioinform. 2022. PMID: 35438145

2

Automated docking of peptides and proteins by using a genetic algorithm combined with a tabu search.

Hou T, Wang J, Chen L, Xu X. Hou T, et al. Protein Eng. 1999 Aug;12(8):639-48. doi: 10.1093/protein/12.8.639. Protein Eng. 1999. PMID: 10469824

3

Applications of genetic algorithms on the structure-activity relationship analysis of some cinnamamides.

Hou TJ, Wang JM, Liao N, Xu XJ. Hou TJ, et al. J Chem Inf Comput Sci. 1999 Sep-Oct;39(5):775-81. doi: 10.1021/ci990010n. J Chem Inf Comput Sci. 1999. PMID: 10529984

4

Comprehensive assessment of nine docking programs on type II kinase inhibitors: prediction accuracy of sampling power, scoring power and screening power.

Shen C, Wang Z, Yao X, Li Y, Lei T, Wang E, Xu L, Zhu F, Li D, Hou T. Shen C, et al. Among authors: hou t. Brief Bioinform. 2020 Jan 17;21(1):282-297. doi: 10.1093/bib/bby103. Brief Bioinform. 2020. PMID: 30379986

5

Structural Analysis and Identification of Colloidal Aggregators in Drug Discovery.

Yang ZY, Yang ZJ, Dong J, Wang LL, Zhang LX, Ding JJ, Ding XQ, Lu AP, Hou TJ, Cao DS. Yang ZY, et al. J Chem Inf Model. 2019 Sep 23;59(9):3714-3726. doi: 10.1021/acs.jcim.9b00541. Epub 2019 Aug 27. J Chem Inf Model. 2019. PMID: 31430151

6

Assessing the performance of the MM/PBSA and MM/GBSA methods. 10. Impacts of enhanced sampling and variable dielectric model on protein-protein Interactions.

Wang E, Weng G, Sun H, Du H, Zhu F, Chen F, Wang Z, Hou T. Wang E, et al. Among authors: hou t. Phys Chem Chem Phys. 2019 Sep 21;21(35):18958-18969. doi: 10.1039/c9cp04096j. Epub 2019 Aug 27. Phys Chem Chem Phys. 2019. PMID: 31453590

7

ADMET Evaluation in Drug Discovery. 19. Reliable Prediction of Human Cytochrome P450 Inhibition Using Artificial Intelligence Approaches.

Wu Z, Lei T, Shen C, Wang Z, Cao D, Hou T. Wu Z, et al. Among authors: hou t. J Chem Inf Model. 2019 Nov 25;59(11):4587-4601. doi: 10.1021/acs.jcim.9b00801. Epub 2019 Nov 5. J Chem Inf Model. 2019. PMID: 31644282

8

Systematic Modeling of log D_7.4 Based on Ensemble Machine Learning, Group Contribution, and Matched Molecular Pair Analysis.

Fu L, Liu L, Yang ZJ, Li P, Ding JJ, Yun YH, Lu AP, Hou TJ, Cao DS. Fu L, et al. J Chem Inf Model. 2020 Jan 27;60(1):63-76. doi: 10.1021/acs.jcim.9b00718. Epub 2020 Jan 10. J Chem Inf Model. 2020. PMID: 31869226

9

Can machine learning consistently improve the scoring power of classical scoring functions? Insights into the role of machine learning in scoring functions.

Shen C, Hu Y, Wang Z, Zhang X, Zhong H, Wang G, Yao X, Xu L, Cao D, Hou T. Shen C, et al. Among authors: hou t. Brief Bioinform. 2021 Jan 18;22(1):497-514. doi: 10.1093/bib/bbz173. Brief Bioinform. 2021. PMID: 31982914

10

Combined strategies in structure-based virtual screening.

Wang Z, Sun H, Shen C, Hu X, Gao J, Li D, Cao D, Hou T. Wang Z, et al. Among authors: hou t. Phys Chem Chem Phys. 2020 Feb 14;22(6):3149-3159. doi: 10.1039/c9cp06303j. Epub 2020 Jan 29. Phys Chem Chem Phys. 2020. PMID: 31995074 Review.

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