Similar articles for PMID: 24351051

Year	Number of Results
2001	1
2002	4
2003	2
2004	3
2005	2
2006	2
2007	6
2008	6
2009	6
2010	8
2011	6
2012	7
2013	3
2014	7
2015	8
2016	8
2017	3
2018	9
2019	6
2020	5
2021	1
2022	3
2023	1
2024	1

1

QSAR modeling: where have you been? Where are you going to?

Cherkasov A, Muratov EN, Fourches D, Varnek A, Baskin II, Cronin M, Dearden J, Gramatica P, Martin YC, Todeschini R, Consonni V, Kuz'min VE, Cramer R, Benigni R, Yang C, Rathman J, Terfloth L, Gasteiger J, Richard A, Tropsha A. Cherkasov A, et al. J Med Chem. 2014 Jun 26;57(12):4977-5010. doi: 10.1021/jm4004285. Epub 2014 Jan 6. J Med Chem. 2014. PMID: 24351051 Free PMC article.

2

QSAR without borders.

Muratov EN, Bajorath J, Sheridan RP, Tetko IV, Filimonov D, Poroikov V, Oprea TI, Baskin II, Varnek A, Roitberg A, Isayev O, Curtarolo S, Fourches D, Cohen Y, Aspuru-Guzik A, Winkler DA, Agrafiotis D, Cherkasov A, Tropsha A. Muratov EN, et al. Chem Soc Rev. 2020 Jun 7;49(11):3525-3564. doi: 10.1039/d0cs00098a. Epub 2020 May 1. Chem Soc Rev. 2020. PMID: 32356548 Free PMC article. Review.

3

Methods for building quantitative structure-activity relationship (QSAR) descriptors and predictive models for computer-aided design of antimicrobial peptides.

Taboureau O. Taboureau O. Methods Mol Biol. 2010;618:77-86. doi: 10.1007/978-1-60761-594-1_6. Methods Mol Biol. 2010. PMID: 20094859

4

Predictive QSAR modeling workflow, model applicability domains, and virtual screening.

Tropsha A, Golbraikh A. Tropsha A, et al. Curr Pharm Des. 2007;13(34):3494-504. doi: 10.2174/138161207782794257. Curr Pharm Des. 2007. PMID: 18220786 Review.

5

The advancement of multidimensional QSAR for novel drug discovery - where are we headed?

Wang T, Yuan XS, Wu MB, Lin JP, Yang LR. Wang T, et al. Expert Opin Drug Discov. 2017 Aug;12(8):769-784. doi: 10.1080/17460441.2017.1336157. Epub 2017 Jun 8. Expert Opin Drug Discov. 2017. PMID: 28562095 Review.

6

QSAR modeling of the antimicrobial activity of peptides as a mathematical function of a sequence of amino acids.

Toropova MA, Veselinović AM, Veselinović JB, Stojanović DB, Toropov AA. Toropova MA, et al. Comput Biol Chem. 2015 Dec;59 Pt A:126-30. doi: 10.1016/j.compbiolchem.2015.09.009. Epub 2015 Sep 21. Comput Biol Chem. 2015. PMID: 26454621

7

Quantitative structure-activity relationship methods: perspectives on drug discovery and toxicology.

Perkins R, Fang H, Tong W, Welsh WJ. Perkins R, et al. Environ Toxicol Chem. 2003 Aug;22(8):1666-79. doi: 10.1897/01-171. Environ Toxicol Chem. 2003. PMID: 12924569 Review.

8

Prediction of rodent carcinogenic potential of naturally occurring chemicals in the human diet using high-throughput QSAR predictive modeling.

Valerio LG Jr, Arvidson KB, Chanderbhan RF, Contrera JF. Valerio LG Jr, et al. Toxicol Appl Pharmacol. 2007 Jul 1;222(1):1-16. doi: 10.1016/j.taap.2007.03.012. Epub 2007 Mar 24. Toxicol Appl Pharmacol. 2007. PMID: 17482223

9

On various metrics used for validation of predictive QSAR models with applications in virtual screening and focused library design.

Roy K, Mitra I. Roy K, et al. Comb Chem High Throughput Screen. 2011 Jul;14(6):450-74. doi: 10.2174/138620711795767893. Comb Chem High Throughput Screen. 2011. PMID: 21521150 Review.

10

From QSAR to QSIIR: searching for enhanced computational toxicology models.

Zhu H. Zhu H. Methods Mol Biol. 2013;930:53-65. doi: 10.1007/978-1-62703-059-5_3. Methods Mol Biol. 2013. PMID: 23086837 Free PMC article. Review.

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