Computational Prediction of Metabolism: Sites, Products, SAR, P450 Enzyme Dynamics, and Mechanisms-Reference-Cited by-同舟云学术

Computational Prediction of Metabolism: Sites, Products, SAR, P450 Enzyme Dynamics, and Mechanisms

Published:2012-02-17 Issue:3 Volume:52 Page:617-648
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Kirchmair Johannes¹,Williamson Mark J.¹,Tyzack Jonathan D.¹,Tan Lu²,Bond Peter J.¹,Bender Andreas¹,Glen Robert C.¹

Affiliation:

1. Unilever Centre for Molecular Science Informatics, Department of Chemistry, University of Cambridge, Lensfield Road, CB2 1EW, Cambridge, United Kingdom

2. Department of Chemical Engineering and Biotechnology, University of Cambridge, Tennis Court Road, CB2 1QT, Cambridge, United Kingdom

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/ci200542m

Reference269 articles.

1. Lessons from 60 years of pharmaceutical innovation

2. How were new medicines discovered?

3. Are Circulating Metabolites Important in Drug–Drug Interactions?: Quantitative Analysis of Risk Prediction and Inhibitory Potency

4. Towards a Quantitative Framework for the Prediction of DDIs Arising from Cytochrome P450 Induction

Cited by 246 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Investigation of in silico studies for cytochrome P450 isoforms specificity;Computational and Structural Biotechnology Journal;2024-12

2. Relevance and Potential Applications of C2‐Carboxylated 1,3‐Azoles;ChemMedChem;2024-09-13

3. Sulfotransferase‐mediated phase II drug metabolism prediction of substrates and sites using accessibility and reactivity‐based algorithms.;Molecular Informatics;2024-08-07

4. Effect of Lipid Bilayer Anchoring on the Conformational Properties of the Cytochrome P450 2D6 Binding Site;The Journal of Physical Chemistry B;2024-07-17

5. In silico discovery of potential PPI inhibitors for anti-lung cancer activity by targeting the CCND1-CDK4 complex via the P21 inhibition mechanism;Frontiers in Chemistry;2024-06-18