173 related articles for article (PubMed ID: 21905670)
1. Predictive models for cytochrome p450 isozymes based on quantitative high throughput screening data.
Sun H; Veith H; Xia M; Austin CP; Huang R
J Chem Inf Model; 2011 Oct; 51(10):2474-81. PubMed ID: 21905670
[TBL] [Abstract][Full Text] [Related]
2. Comprehensive characterization of cytochrome P450 isozyme selectivity across chemical libraries.
Veith H; Southall N; Huang R; James T; Fayne D; Artemenko N; Shen M; Inglese J; Austin CP; Lloyd DG; Auld DS
Nat Biotechnol; 2009 Nov; 27(11):1050-5. PubMed ID: 19855396
[TBL] [Abstract][Full Text] [Related]
3. Insights into molecular basis of cytochrome p450 inhibitory promiscuity of compounds.
Cheng F; Yu Y; Zhou Y; Shen Z; Xiao W; Liu G; Li W; Lee PW; Tang Y
J Chem Inf Model; 2011 Oct; 51(10):2482-95. PubMed ID: 21875141
[TBL] [Abstract][Full Text] [Related]
4. CYPlebrity: Machine learning models for the prediction of inhibitors of cytochrome P450 enzymes.
Plonka W; Stork C; Šícho M; Kirchmair J
Bioorg Med Chem; 2021 Sep; 46():116388. PubMed ID: 34488021
[TBL] [Abstract][Full Text] [Related]
5. Effects of obesity on the cytochrome P450 enzyme system.
Kotlyar M; Carson SW
Int J Clin Pharmacol Ther; 1999 Jan; 37(1):8-19. PubMed ID: 10027478
[TBL] [Abstract][Full Text] [Related]
6. 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
J Chem Inf Model; 2019 Nov; 59(11):4587-4601. PubMed ID: 31644282
[TBL] [Abstract][Full Text] [Related]
7. Prediction of Human Cytochrome P450 Inhibition Using a Multitask Deep Autoencoder Neural Network.
Li X; Xu Y; Lai L; Pei J
Mol Pharm; 2018 Oct; 15(10):4336-4345. PubMed ID: 29775322
[TBL] [Abstract][Full Text] [Related]
8. Evaluation of liposomal curcumin cytochrome p450 metabolism.
Mach CM; Chen JH; Mosley SA; Kurzrock R; Smith JA
Anticancer Res; 2010 Mar; 30(3):811-4. PubMed ID: 20393001
[TBL] [Abstract][Full Text] [Related]
9. Metabolite profiling and evaluation of CYP450 interaction potential of 'Trimada'- an Ayurvedic formulation.
Kar A; Mukherjee PK; Saha S; Banerjee S; Goswami D; Matsabisa MG; Charoensub R; Duangyod T
J Ethnopharmacol; 2021 Feb; 266():113457. PubMed ID: 33039629
[TBL] [Abstract][Full Text] [Related]
10. Inhibitory effects of the main metabolites of Apatinib on CYP450 isozymes in human and rat liver microsomes.
Pang NH; Xu RA; Chen LG; Chen Z; Hu GX; Zhang BW
Toxicol In Vitro; 2024 Mar; 95():105739. PubMed ID: 38042355
[TBL] [Abstract][Full Text] [Related]
11. Evaluation of Tetrahydropalmatine Enantiomers on the Activity of Five Cytochrome P450 Isozymes in Rats Using a Liquid Chromatography / Mass Spectrometric Method and a Cocktail Approach.
Li W; Zhao L; Le J; Zhang Y; Liu Y; Zhang G; Chai Y; Hong Z
Chirality; 2015 Aug; 27(8):551-6. PubMed ID: 26032585
[TBL] [Abstract][Full Text] [Related]
12. High-throughput cytochrome P450 (CYP) inhibition screening via a cassette probe-dosing strategy. VI. Simultaneous evaluation of inhibition potential of drugs on human hepatic isozymes CYP2A6, 3A4, 2C9, 2D6 and 2E1.
Bu HZ; Magis L; Knuth K; Teitelbaum P
Rapid Commun Mass Spectrom; 2001; 15(10):741-8. PubMed ID: 11344532
[TBL] [Abstract][Full Text] [Related]
13. Classification of cytochrome P450 inhibitors and noninhibitors using combined classifiers.
Cheng F; Yu Y; Shen J; Yang L; Li W; Liu G; Lee PW; Tang Y
J Chem Inf Model; 2011 May; 51(5):996-1011. PubMed ID: 21491913
[TBL] [Abstract][Full Text] [Related]
14. Harnessing machine learning to predict cytochrome P450 inhibition through molecular properties.
Zahid H; Tayara H; Chong KT
Arch Toxicol; 2024 Apr; ():. PubMed ID: 38619593
[TBL] [Abstract][Full Text] [Related]
15. High-throughput mass spectrometric cytochrome P450 inhibition screening.
Lim KB; Ozbal CC; Kassel DB
Methods Mol Biol; 2013; 987():25-50. PubMed ID: 23475665
[TBL] [Abstract][Full Text] [Related]
16. Investigation of the inhibition of eight major human cytochrome P450 isozymes by a probe substrate cocktail
Valicherla GR; Mishra A; Lenkalapelly S; Jillela B; Francis FM; Rajagopalan L; Srivastava P
Xenobiotica; 2019 Dec; 49(12):1396-1402. PubMed ID: 30747554
[TBL] [Abstract][Full Text] [Related]
17. Evaluation of herb-drug interaction of a polyherbal Ayurvedic formulation through high throughput cytochrome P450 enzyme inhibition assay.
Pandit S; Kanjilal S; Awasthi A; Chaudhary A; Banerjee D; Bhatt BN; Narwaria A; Singh R; Dutta K; Jaggi M; Singh AT; Sharma N; Katiyar CK
J Ethnopharmacol; 2017 Feb; 197():165-172. PubMed ID: 27457692
[TBL] [Abstract][Full Text] [Related]
18. CYPstrate: A Set of Machine Learning Models for the Accurate Classification of Cytochrome P450 Enzyme Substrates and Non-Substrates.
Holmer M; de Bruyn Kops C; Stork C; Kirchmair J
Molecules; 2021 Aug; 26(15):. PubMed ID: 34361831
[TBL] [Abstract][Full Text] [Related]
19. [Computational Pharmacological Study on Clopidogrel Metabolism Enzymes Influenced by Fufang Danshen Dripping Pill].
Ma ST; Dai GL; Bi XL; Gong MR; Sun BT; Ju WZ; Tan HS
Zhong Yao Cai; 2015 May; 38(5):1009-12. PubMed ID: 26767297
[TBL] [Abstract][Full Text] [Related]
20. A comparative study of the CYP450 inhibition potential of marketed drugs using two fluorescence based assay platforms routinely used in the pharmaceutical industry.
Kajbaf M; Longhi R; Montanari D; Vinco F; Rigo M; Fontana S; Read KD
Drug Metab Lett; 2011 Jan; 5(1):30-9. PubMed ID: 21198439
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
