Cao D - Search Results

1

Topology-Based and Conformation-Based Decoys Database: An Unbiased Online Database for Training and Benchmarking Machine-Learning Scoring Functions.

Zhang X, Shen C, Wang T, Kang Y, Li D, Pan P, Wang J, Wang G, Deng Y, Xu L, Cao D, Hou T, Wang Z. Zhang X, et al. Among authors: cao d. J Med Chem. 2023 Jul 13;66(13):9174-9183. doi: 10.1021/acs.jmedchem.3c00801. Epub 2023 Jun 14. J Med Chem. 2023. PMID: 37317043

2

Seladoeflavones A-F, six novel flavonoids from Selaginella doederleinii.

Zou Z, Xu K, Xu P, Li X, Cheng F, Li J, Yu X, Cao D, Li D, Zeng W, Zhang G, Tan G. Zou Z, et al. Among authors: cao d. Fitoterapia. 2017 Jan;116:66-71. doi: 10.1016/j.fitote.2016.11.014. Epub 2016 Nov 24. Fitoterapia. 2017. PMID: 27889540

3

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

4

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: cao d. 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

5

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

6

BioMedR: an R/CRAN package for integrated data analysis pipeline in biomedical study.

Dong J, Zhu MF, Yun YH, Lu AP, Hou TJ, Cao DS. Dong J, et al. Brief Bioinform. 2021 Jan 18;22(1):474-484. doi: 10.1093/bib/bbz150. Brief Bioinform. 2021. PMID: 31885044

7

Application of Negative Design To Design a More Desirable Virtual Screening Library.

Yang ZY, He JH, Lu AP, Hou TJ, Cao DS. Yang ZY, et al. J Med Chem. 2020 May 14;63(9):4411-4429. doi: 10.1021/acs.jmedchem.9b01476. Epub 2020 Jan 27. J Med Chem. 2020. PMID: 31928004 Review.

8

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: cao d. Brief Bioinform. 2021 Jan 18;22(1):497-514. doi: 10.1093/bib/bbz173. Brief Bioinform. 2021. PMID: 31982914

9

Frequent hitters: nuisance artifacts in high-throughput screening.

Yang ZY, He JH, Lu AP, Hou TJ, Cao DS. Yang ZY, et al. Drug Discov Today. 2020 Apr;25(4):657-667. doi: 10.1016/j.drudis.2020.01.014. Epub 2020 Jan 24. Drug Discov Today. 2020. PMID: 31987936 Review.

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: cao d. 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.

Save citations to file

Email citations

Send citations to clipboard

Add to Collections

Add to My Bibliography

Create a file for external citation management software

Your saved search

Your RSS Feed

My Custom Filters

Publication date

Text availability

Article attribute

Article type

Article Language

Species

Sex

Age

Other

5,327 results

Search Page

Filters