EaMEAD: Activation Energy Prediction of Cytochrome P450 Mediated Metabolism with Effective Atomic Descriptors-Reference-Cited by-同舟云学术

EaMEAD: Activation Energy Prediction of Cytochrome P450 Mediated Metabolism with Effective Atomic Descriptors

Published:2009-06-22 Issue:7 Volume:49 Page:1643-1654
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Kim Doo Nam¹,Cho Kwang-Hwi¹,Oh Won Seok¹,Lee Chang Joon¹,Lee Sung Kwang¹,Jung Jihoon¹,No Kyoung Tai¹

Affiliation:

1. Bioinformatics and Molecular Design Research Center, Seoul 120-749, Korea, Graduate Program in Functional Genomics, Yonsei University, Seoul 120-749, Korea, Department of Bioinformatics and CAMD Research Center, Soongsil University, Seoul 156-743, Korea, Department of Biotechnology, Yonsei University, Seoul 120-749, Korea, and Department of Chemistry, Hannam University, 461-6 Jeonmin-Dong, Yuseong-Gu, Daejeon 305-811, Korea

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ci900011g

Reference46 articles.

1. CYP2C9 Structure−Metabolism Relationships: Optimizing the Metabolic Stability of COX-2 Inhibitors

2. Ligand-Based Models for the Isoform Specificity of Cytochrome P450 3A4, 2D6, and 2C9 Substrates

3. META. 1. A Program for the Evaluation of Metabolic Transformation of Chemicals

4. META. 2. A Dictionary Model of Mammalian Xenobiotic Metabolism

5. Prediction of Cytochrome P450 3A4, 2D6, and 2C9 Inhibitors and Substrates by Using Support Vector Machines

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