Current Drug Metabolism


Michael Sinz

Bristol Myers Squibb

Princeton, NJ




Become EABM
Become Reviewer

Articles Ahead of Print

Herb-Drug Interactions and Hepatotoxicity

Mohammad K. Parvez* and Vikas Rishi

Recent Findings on Nanotechnology-based Therapeutic Strategies Against Hepatocellular Carcinoma

Hany A. Abdel Samie*, Mohd Saeed, Syed Mohd Faisal and M. A. Kamal

Tubular and Glomerular Biomarkers of Acute Kidney Injury in Newborns

Monika Kamianowska*, Marek Szczepański and Anna Wasilewska

Metabolism of the Dual Orexin Receptor Antagonist ACT-541468, Based on Microtracer/ Accelerator Mass Spectrometry

Clemens Muehlan*, Hartmut Fischer, Dieter Zimmer, Hamed Aissaoui, Julien Grimont, Christoph Boss, Marie Croft, Joop van Gerven, Stephan Krähenbühl and Jasper Dingemanse

Genitourinary Tumors: Update on Molecular Biomarkers for Diagnosis, Prognosis and Prediction of Response to Therapy

Alessia Cimadamore, Marina Scarpelli, Matteo Santoni, Francesco Massari, Francesca Tartari, Roy Cerqueti, Antonio Lopez-Beltran, Liang Cheng and Rodolfo Montironi*

Effects of CYP2C8 and SLCO1B1 Genetic Polymorphisms on Repaglinide Pharmacokinetics: A Systematic Review and Meta-Analysis

Shuang Zhou, Qian Xiang, Guangyan Mu, Lingyue Ma, Shuqing Chen, Qiufen Xie, Zhuo Zhang and Yimin Cui*

Recent Advances on Prediction of Human Papillomaviruses Risk Types

Yuhua Yao*, Huimin Xu, Manzhi Li, Zhaohui Qi and Bo Liao

A Metabonomics Approach to Drug Toxicology in Liver Disease and its Application in Traditional Chinese Medicine

Guangyue Su , Haifeng Wang*, Jiao Bai , Gang Chen and Yuehu Pei

Iron Oxide Nanoparticles for Breast Cancer Theranostics

Md Salman Shakil, Md Ashraful Hasan and Satya Ranjan Sarker*

Recent Advances in Machine Learning Methods for Predicting Heat Shock Proteins

Wei Chen*, Pengmian Feng, Tao Liu and Dianchuan Jin

Removal of Pharmaceutical Contaminants in Wastewater Using Nanomaterials: A Comprehensive Review

Anjali Chauhan, Devendra Sillu and Shekhar Agnihotri*

Nanotherapeutics for the Treatment of Cancer and Arthritis

Pal Patel, Nikita Meghani, Krupa Kansara and Ashutosh Kumar*

Magnetic Nanoparticles: Current Trends and Future Aspects in Diagnostics and Nanomedicine

Naga Veera Srikanth Vallabani, Sanjay Singh* and Ajay Karakoti*

Anti-leishmanial Nanotherapeutics: A Current Perspective

Aditi Shah and Souvik Sen Gupta*

Survey of Machine Learning Techniques for Prediction of the Isoform Specificity of Cytochrome P450 Substrates

Yi Xiong, Yanhua Qiao, Daisuke Kihara, Hui-Yuan Zhang, Xiaolei Zhu* and Dong-Qing Wei*

A Review of Recent Advances and Research on Drug Target Identification Methods

Yang Hu, Tianyi Zhao, Ningyi Zhang, Ying Zhang* and Liang Cheng*

A Review of Theranostics Applications and Toxicities of Carbon Nanomaterials

Nitin Gupta, Divya Bharti Rai, Ashok Kumar Jangid and Hitesh Kulhari*

Cancer Nanotechnology: A New Revolution for Cancer Diagnosis and Therapy

Vivek K Chaturvedi, Anshuman Singh, Vinay K Singh and M. P. Singh*

Targeting Virus-host Protein Interactions: Feature Extraction and Machine Learning Approaches

Nantao Zheng, Kairou Wang, Weihua Zhan and Lei Deng*

Recent Advances in the Machine Learning-Based Drug-Target Interaction Prediction

Wen Zhang*, Weiran Lin, Ding Zhang, Siman Wang, Jingwen Shi and Yanqing Niu

Survey of Machine Learning Techniques in Drug Discovery

Natalie Stephenson, Emily Shane, Jessica Chase, Jason Rowland, David Ries, Nicola Justice, Jie Zhang, Leong Chan and Renzhi Cao*

Molecular Design of Peptide-Fc Fusion Drugs

Lin Ning, Bifang He, Peng Zhou, Ratmir Derda and Jian Huang*

Understanding and Preventing Adverse Effects of Tacrolimus Metabolization in Transplant Patients

Eleonore Frohlich*

Interindividual Variability in Drug Metabolizing Enzymes

Donna A. Volpe*