Similar articles for PMID: 31663691

Year	Number of Results
2001	1
2004	2
2006	2
2007	2
2009	1
2010	2
2011	3
2012	4
2013	7
2014	6
2015	14
2016	16
2017	15
2018	13
2019	20
2020	8
2021	13
2022	15
2023	6
2024	0

1

ALADDIN: Docking Approach Augmented by Machine Learning for Protein Structure Selection Yields Superior Virtual Screening Performance.

Fan N, Bauer CA, Stork C, de Bruyn Kops C, Kirchmair J. Fan N, et al. Mol Inform. 2020 Apr;39(4):e1900103. doi: 10.1002/minf.201900103. Epub 2019 Nov 8. Mol Inform. 2020. PMID: 31663691 Free PMC article.

2

Improving Structure-Based Virtual Screening with Ensemble Docking and Machine Learning.

Ricci-Lopez J, Aguila SA, Gilson MK, Brizuela CA. Ricci-Lopez J, et al. J Chem Inf Model. 2021 Nov 22;61(11):5362-5376. doi: 10.1021/acs.jcim.1c00511. Epub 2021 Oct 15. J Chem Inf Model. 2021. PMID: 34652141 Free PMC article.

3

Boosted neural networks scoring functions for accurate ligand docking and ranking.

Ashtawy HM, Mahapatra NR. Ashtawy HM, et al. J Bioinform Comput Biol. 2018 Apr;16(2):1850004. doi: 10.1142/S021972001850004X. Epub 2018 Feb 4. J Bioinform Comput Biol. 2018. PMID: 29495922

4

SCORCH: Improving structure-based virtual screening with machine learning classifiers, data augmentation, and uncertainty estimation.

McGibbon M, Money-Kyrle S, Blay V, Houston DR. McGibbon M, et al. J Adv Res. 2023 Apr;46:135-147. doi: 10.1016/j.jare.2022.07.001. Epub 2022 Jul 25. J Adv Res. 2023. PMID: 35901959 Free PMC article.

5

Potential and limitations of ensemble docking.

Korb O, Olsson TS, Bowden SJ, Hall RJ, Verdonk ML, Liebeschuetz JW, Cole JC. Korb O, et al. J Chem Inf Model. 2012 May 25;52(5):1262-74. doi: 10.1021/ci2005934. Epub 2012 Apr 17. J Chem Inf Model. 2012. PMID: 22482774

6

Practical Model Selection for Prospective Virtual Screening.

Liu S, Alnammi M, Ericksen SS, Voter AF, Ananiev GE, Keck JL, Hoffmann FM, Wildman SA, Gitter A. Liu S, et al. J Chem Inf Model. 2019 Jan 28;59(1):282-293. doi: 10.1021/acs.jcim.8b00363. Epub 2018 Dec 18. J Chem Inf Model. 2019. PMID: 30500183 Free PMC article.

7

A Hybrid Docking and Machine Learning Approach to Enhance the Performance of Virtual Screening Carried out on Protein-Protein Interfaces.

Singh N, Villoutreix BO. Singh N, et al. Int J Mol Sci. 2022 Nov 18;23(22):14364. doi: 10.3390/ijms232214364. Int J Mol Sci. 2022. PMID: 36430841 Free PMC article.

8

idDock+: Integrating Machine Learning in Probabilistic Search for Protein-Protein Docking.

Hashmi I, Shehu A. Hashmi I, et al. J Comput Biol. 2015 Sep;22(9):806-22. doi: 10.1089/cmb.2015.0108. Epub 2015 Jul 29. J Comput Biol. 2015. PMID: 26222714

9

Evolutionary chemical binding similarity approach integrated with 3D-QSAR method for effective virtual screening.

Durai P, Ko YJ, Pan CH, Park K. Durai P, et al. BMC Bioinformatics. 2020 Jul 14;21(1):309. doi: 10.1186/s12859-020-03643-x. BMC Bioinformatics. 2020. PMID: 32664863 Free PMC article.

10

Using machine learning to improve ensemble docking for drug discovery.

Chandak T, Mayginnes JP, Mayes H, Wong CF. Chandak T, et al. Proteins. 2020 Oct;88(10):1263-1270. doi: 10.1002/prot.25899. Epub 2020 May 25. Proteins. 2020. PMID: 32401384 Free PMC article.

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