Broccatelli F - Search Results

1

Evaluating the Utility of Canine Mdr1 Knockout Madin-Darby Canine Kidney I Cells in Permeability Screening and Efflux Substrate Determination.

Chen EC, Broccatelli F, Plise E, Chen B, Liu L, Cheong J, Zhang S, Jorski J, Gaffney K, Umemoto KK, Salphati L. Chen EC, et al. Among authors: broccatelli f. Mol Pharm. 2018 Nov 5;15(11):5103-5113. doi: 10.1021/acs.molpharmaceut.8b00688. Epub 2018 Oct 10. Mol Pharm. 2018. PMID: 30222362

2

Predicting Passive Permeability of Drug-like Molecules from Chemical Structure: Where Are We?

Broccatelli F, Salphati L, Plise E, Cheong J, Gobbi A, Lee ML, Aliagas I. Broccatelli F, et al. Mol Pharm. 2016 Dec 5;13(12):4199-4208. doi: 10.1021/acs.molpharmaceut.6b00836. Epub 2016 Nov 11. Mol Pharm. 2016. PMID: 27806577

3

QSAR modeling and data mining link Torsades de Pointes risk to the interplay of extent of metabolism, active transport, and HERG liability.

Broccatelli F, Mannhold R, Moriconi A, Giuli S, Carosati E. Broccatelli F, et al. Mol Pharm. 2012 Aug 6;9(8):2290-301. doi: 10.1021/mp300156r. Epub 2012 Jul 13. Mol Pharm. 2012. PMID: 22742658

4

Improving the prediction of the brain disposition for orally administered drugs using BDDCS.

Broccatelli F, Larregieu CA, Cruciani G, Oprea TI, Benet LZ. Broccatelli F, et al. Adv Drug Deliv Rev. 2012 Jan;64(1):95-109. doi: 10.1016/j.addr.2011.12.008. Epub 2011 Dec 21. Adv Drug Deliv Rev. 2012. PMID: 22261306 Free PMC article. Review.

5

Comparing Mechanistic and Preclinical Predictions of Volume of Distribution on a Large Set of Drugs.

Chan R, De Bruyn T, Wright M, Broccatelli F. Chan R, et al. Among authors: broccatelli f. Pharm Res. 2018 Mar 8;35(4):87. doi: 10.1007/s11095-018-2360-2. Pharm Res. 2018. PMID: 29520503

6

Evaluation of Tissue Binding in Three Tissues across Five Species and Prediction of Volume of Distribution from Plasma Protein and Tissue Binding with an Existing Model.

Hsu F, Chen YC, Broccatelli F. Hsu F, et al. Among authors: broccatelli f. Drug Metab Dispos. 2021 Apr;49(4):330-336. doi: 10.1124/dmd.120.000337. Epub 2021 Feb 2. Drug Metab Dispos. 2021. PMID: 33531412

7

BDDCS class prediction for new molecular entities.

Broccatelli F, Cruciani G, Benet LZ, Oprea TI. Broccatelli F, et al. Mol Pharm. 2012 Mar 5;9(3):570-80. doi: 10.1021/mp2004302. Epub 2012 Feb 7. Mol Pharm. 2012. PMID: 22224483 Free PMC article.

8

QSAR models for P-glycoprotein transport based on a highly consistent data set.

Broccatelli F. Broccatelli F. J Chem Inf Model. 2012 Sep 24;52(9):2462-70. doi: 10.1021/ci3002809. Epub 2012 Sep 4. J Chem Inf Model. 2012. PMID: 22946765

9

Computational analysis of kinase inhibitor selectivity using structural knowledge.

Lo YC, Liu T, Morrissey KM, Kakiuchi-Kiyota S, Johnson AR, Broccatelli F, Zhong Y, Joshi A, Altman RB. Lo YC, et al. Among authors: broccatelli f. Bioinformatics. 2019 Jan 15;35(2):235-242. doi: 10.1093/bioinformatics/bty582. Bioinformatics. 2019. PMID: 29985971 Free PMC article.

10

Strategies to optimize drug half-life in lead candidate identification.

Broccatelli F, E C A Hop C, Wright M. Broccatelli F, et al. Expert Opin Drug Discov. 2019 Mar;14(3):221-230. doi: 10.1080/17460441.2019.1569625. Epub 2019 Jan 24. Expert Opin Drug Discov. 2019. PMID: 30675823 Review.

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