Cited In for PMID: 29057058

Year	Number of Results
2017	1
2018	1
2019	1
2020	3
2021	3

1

Addressing the Metabolic Stability of Antituberculars through Machine Learning.

Stratton TP, Perryman AL, Vilchèze C, Russo R, Li SG, Patel JS, Singleton E, Ekins S, Connell N, Jacobs WR Jr, Freundlich JS. Stratton TP, et al. ACS Med Chem Lett. 2017 Sep 14;8(10):1099-1104. doi: 10.1021/acsmedchemlett.7b00299. eCollection 2017 Oct 12. ACS Med Chem Lett. 2017. PMID: 29057058 Free PMC article.

2

How can SHAP values help to shape metabolic stability of chemical compounds?

Wojtuch A, Jankowski R, Podlewska S. Wojtuch A, et al. J Cheminform. 2021 Sep 27;13(1):74. doi: 10.1186/s13321-021-00542-y. J Cheminform. 2021. PMID: 34579792 Free PMC article.

3

Bayesian Modeling and Intrabacterial Drug Metabolism Applied to Drug-Resistant Staphylococcus aureus.

Patel JS, Norambuena J, Al-Tameemi H, Ahn YM, Perryman AL, Wang X, Daher SS, Occi J, Russo R, Park S, Zimmerman M, Ho HP, Perlin DS, Dartois V, Ekins S, Kumar P, Connell N, Boyd JM, Freundlich JS. Patel JS, et al. ACS Infect Dis. 2021 Aug 13;7(8):2508-2521. doi: 10.1021/acsinfecdis.1c00265. Epub 2021 Aug 3. ACS Infect Dis. 2021. PMID: 34342426

4

Random Forest Model Prediction of Compound Oral Exposure in the Mouse.

Mughal H, Wang H, Zimmerman M, Paradis MD, Freundlich JS. Mughal H, et al. ACS Pharmacol Transl Sci. 2021 Jan 26;4(1):338-343. doi: 10.1021/acsptsci.0c00197. eCollection 2021 Feb 12. ACS Pharmacol Transl Sci. 2021. PMID: 33615183

5

Pruned Machine Learning Models to Predict Aqueous Solubility.

Perryman AL, Inoyama D, Patel JS, Ekins S, Freundlich JS. Perryman AL, et al. ACS Omega. 2020 Jul 1;5(27):16562-16567. doi: 10.1021/acsomega.0c01251. eCollection 2020 Jul 14. ACS Omega. 2020. PMID: 32685821 Free PMC article.

6

Machine Learning Platform to Discover Novel Growth Inhibitors of Neisseria gonorrhoeae.

Pereira JC, Daher SS, Zorn KM, Sherwood M, Russo R, Perryman AL, Wang X, Freundlich MJ, Ekins S, Freundlich JS. Pereira JC, et al. Pharm Res. 2020 Jul 13;37(7):141. doi: 10.1007/s11095-020-02876-y. Pharm Res. 2020. PMID: 32661900 Free PMC article.

7

Current status and future directions of high-throughput ADME screening in drug discovery.

Shou WZ. Shou WZ. J Pharm Anal. 2020 Jun;10(3):201-208. doi: 10.1016/j.jpha.2020.05.004. Epub 2020 May 23. J Pharm Anal. 2020. PMID: 32612866 Free PMC article. Review.

8

Exploiting machine learning for end-to-end drug discovery and development.

Ekins S, Puhl AC, Zorn KM, Lane TR, Russo DP, Klein JJ, Hickey AJ, Clark AM. Ekins S, et al. Nat Mater. 2019 May;18(5):435-441. doi: 10.1038/s41563-019-0338-z. Epub 2019 Apr 18. Nat Mater. 2019. PMID: 31000803 Free PMC article.

9

Naïve Bayesian Models for Vero Cell Cytotoxicity.

Perryman AL, Patel JS, Russo R, Singleton E, Connell N, Ekins S, Freundlich JS. Perryman AL, et al. Pharm Res. 2018 Jun 29;35(9):170. doi: 10.1007/s11095-018-2439-9. Pharm Res. 2018. PMID: 29959603 Free PMC article.

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