Literature DB >> 17035690

Nuclear magnetic resonance metabonomics: methods for drug discovery and development.

Karl-Heinz Ott1, Nelly Aranibar.   

Abstract

Nuclear magnetic resonance (NMR)-based metabonomics is gaining popularity in drug discovery and development and in academia in a variety of settings, ranging from toxicology, preclinical, and clinical approaches to nutrition research, studies on microorganisms, and research on plants. This chapter focuses on the basic steps in a metabonomics study and emphasizes experience and lessons learned in our lab where we focused on metabonomic analyses of plant extracts, cell lines, and a variety of animal tissues and biofluids. We emphasize that a comprehensive and suitable study design is pivotal for a correct biological interpretation of the results, as well as highly controlled experimental conditions. Sample preparation and NMR protocols are detailed for a wide range of sample types. We discuss alternative data processing strategies and considerations for a general data analysis approach, paying particular attention to the statistical interpretation and validation of the results while also highlighting approaches to avoid possible pitfalls resulting from systematic and random errors. A tutorial written for the R statistical package and other small utilities are available from the authors upon request.

Mesh:

Substances:

Year:  2007        PMID: 17035690     DOI: 10.1007/978-1-59745-244-1_14

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  3 in total

Review 1.  Application of NMR and molecular docking in structure-based drug discovery.

Authors:  Jaime L Stark; Robert Powers
Journal:  Top Curr Chem       Date:  2012

2.  Metabolomic changes in patients with chronic obstructive pulmonary disease with abnormal Savda syndrome.

Authors:  Wei-Fang Xu; Halmurat Upur; Yu-Hua Wu; Batur Mamtimin; Jian Yang; Yong-Juan Ga; Li You
Journal:  Exp Ther Med       Date:  2014-11-24       Impact factor: 2.447

3.  Prediction of Low-Dose Aspirin-Induced Gastric Toxicity Using Nuclear Magnetic Resonance Spectroscopy-Based Pharmacometabolomics in Rats.

Authors:  Abubakar Sha'aban; Hadzliana Zainal; Nor Azlina Khalil; Fatimatuzzahra' Abd Aziz; Ewe Seng Ch'ng; Chin-Hoe Teh; Mustapha Mohammed; Baharudin Ibrahim
Journal:  Molecules       Date:  2022-03-25       Impact factor: 4.411

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.