Molecular modelling of human DT-Diaphorase for enzyme-directed bioreductive drug design

Citation
Sw. Doughty et Rm. Phillips, Molecular modelling of human DT-Diaphorase for enzyme-directed bioreductive drug design, MOL SIMULAT, 24(4-6), 2000, pp. 209
Citations number
9
Categorie Soggetti
Physical Chemistry/Chemical Physics
Journal title
MOLECULAR SIMULATION
ISSN journal
08927022 → ACNP
Volume
24
Issue
4-6
Year of publication
2000
Database
ISI
SICI code
0892-7022(2000)24:4-6<209:MMOHDF>2.0.ZU;2-5
Abstract
The enzyme DT-Diaphorase (NAD(P)H:quinone acceptor oxidoreductase, EC 1.6.9 9.2.; DTD) has been recognised as a good target for enzyme-directed bioredu ctive drug development. This is due to elevated levels of enzyme activity i n several human tumour types and its role in the bioreductive activation of several quinone-based anti-cancer drugs. Bioreductive drugs are designed to exploit one of the features of solid tum ours, namely tumour hypoxia. However, selectivity of bioreductive drugs is not only governed by oxygen levels, but also by the levels of the enzymes c atalysing bioreductive activation, leading to the concept of "enzyme-direct ed bioreductive drug development" introduced by Workman and Walton in 1990. This concept requires the identification of tumours within a patient that have elevated levels of enzyme activity (enzyme profiling) and treating the patient with drugs activated by such enzymes. DTD has been singled out as a particularly good candidate for such targeting. In order to rationalise t he design of drugs to target DTD, molecular modelling techniques have been employed. The human DTD three-dimensional structure has been modelled with homology t o the known rat DTD structure (about 85% identity) and the model refined us ing energy minimisation. Drug-binding orientations have been determined and molecular dynamics simulations performed. Using data from a series of quin one based compounds with a broad range of substrate specificity we examine drug-enzyme interactions and suggest how DTD substrate specificity might be further optimised.