Literature DB >> 17102875

DFT study on hydroxy acid-lactone interconversion of statins: The case of fluvastatin.

Tomasz Grabarkiewicz1, Pawel Grobelny, Marcin Hoffmann, Jadwiga Mielcarek.   

Abstract

Fluvastatin is a member of the HMG-CoA reductase inhibitor family of drugs, commonly referred to as statins. It is generally known that, under physiological conditions, statins are susceptible to pH-dependent interconversion between their active (hydroxy acid) and inactive (lactone) forms. The mechanism of this interconversion, under both acidic and basic conditions, was investigated theoretically using the density functional theory (DFT) method. Regardless of the conditions, the lactone form was always higher in energy by 6-19 kcal mol(-1). However, under basic conditions, the activation barrier for the hydrolysis was significantly lower (9 kcal mol(-1)) than for the reverse reaction (28 kcal mol(-1)), making the lactone form unstable. The activation barriers under acidic conditions were of comparable height in both directions (22 and 28 kcal mol(-1)), making the occurrence of both forms equally probable. Due to the high activation barrier (>40 kcal mol(-1)), a one-step, direct interconversion between the two forms turned out to be unfavourable. Moreover, the potential energy surface of fluvastatin was briefly inspected, revealing relatively small energetic differences (<5 kcal mol(-1)) between the key conformers.

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Year:  2006        PMID: 17102875     DOI: 10.1039/b612999b

Source DB:  PubMed          Journal:  Org Biomol Chem        ISSN: 1477-0520            Impact factor:   3.876


  3 in total

1.  Theoretical study of hydrogen bond interactions of fluvastatin with ι-carrageenan and λ-carrageenan.

Authors:  Anastasios G Papadopoulos; Michael P Sigalas
Journal:  J Mol Model       Date:  2010-10-28       Impact factor: 1.810

2.  In Vitro Assessment of CYP-Mediated Drug Interactions for Kinsenoside, an Antihyperlipidemic Candidate.

Authors:  Shaheed Ur Rehman; Min Sun Choi; In Sook Kim; Zengwei Luo; Yongbo Xue; Guangming Yao; Yonghui Zhang; Hye Hyun Yoo
Journal:  Molecules       Date:  2016-06-18       Impact factor: 4.411

Review 3.  The interactome: predicting the protein-protein interactions in cells.

Authors:  Dariusz Plewczyński; Krzysztof Ginalski
Journal:  Cell Mol Biol Lett       Date:  2008-10-06       Impact factor: 5.787

  3 in total

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