Molecular Biology of Drug Addiction

Description

A comprehensive multidisciplinary review of the most relevant molecular, genetic, and behavioral approaches used to investigate the neurobiological basis of drug addiction. The authors explore the latest findings on opioid, psychostimulant, cannabinoid, alcohol, and nicotine addiction, provide fresh insights into the genetic basis of drug addiction and the new therapeutic perspectives these have opened. They describe the technology available to generate conditional knockout mice and show how these mice can reveal the molecular basis of opioid, psychostimulant, and cannabinoid addiction. They also review the different behavioral models available to evaluate the rewarding effects of drugs and analyze the genes involved in alcohol dependence.




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1. Ebooks list page : 1467
2. Molecular Biology of Drug Addiction
3. High Content Screening: A Powerful Approach to Systems Cell Biology and Drug Discovery (Methods in Molecular Biology Volume 356
4. Biochemistry and Molecular Biology of Antimicrobial Drug Action
5. Bioinformatics and Drug Discovery (Methods in Molecular Biology)
6. Drug Transporters: Molecular Characterization and Role in Drug Disposition (Wiley Series in Drug Discovery and Development)
7. Drug Transporters: Molecular Characterization and Role in Drug Disposition (Wiley Series in Drug Dis
8. Chemoinformatics: Concepts, Methods, and Tools for Drug Discovery (Methods in Molecular Biology)
9. Everything You Need to Know About Drug Addiction (Need to Know Library)
10. Encyclopedia of Molecular Cell Biology and Molecular Medicine, 16 Volume Set
11. Current Topics in Computational Molecular Biology (Computational Molecular Biology)
12. Current Topics in Computational Molecular Biology (Computational Molecular Biology)
13. Xenopus Protocols: Cell Biology and Signal Transduction (Methods in Molecular Biology)
14. The Biology Of Genetic Dominance (Molecular Biology Intelligence Unit)
15. The Biology Of Genetic Dominance (Molecular Biology Intelligence Unit)
16. Quantum Dots: Applications in Biology (Methods in Molecular Biology Vol 374)