Methoxsalen as an in vitro phenotyping tool in comparison with 1-aminobenzotriazole

1. The objective is to evaluate methoxsalen as an in vitro phenotyping tool in comparison to ABT as a nonspecific inactivator of P450 mediated metabolism.

2. The reversible inhibition of methoxsalen and ABT against the P450, FMO, AO, MAO-A and -B, enzymes were evaluated using standard marker probe reactions. The time-dependent inhibition of P450 enzymes was evaluated in human liver microsomes. CES1 activities were determined by monitoring the depletion of known substrate, the clopidogrel. The metabolism of P450 substrates in the presence and absence of methoxsalen or ABT was evaluated in human liver microsomes.

3. Methoxsalen is a direct inhibitor and inhibited the activities (>90%) of all enzymes at a concentration of 300?µM except for CYP2C9. Methoxsalen is also a potent time-dependent inhibitor of all P450 enzymes except for CYP2C19 (moderate) at a concentration of 300?µM. Methoxsalen inhibited the metabolism of P450 substrates in the pre-incubation mode. ABT is a potent TDI of several P450 except for CYP2C19 (47%) and CYP2C9 (27%).

4. The results indicate that methoxsalen is a potent pan P450 inhibitor than ABT and can be a better tool in distinguishing P450 mediated metabolism form non-P450 metabolism in human liver microsomes.

     

Virtual Screening Approach to Identifying a Novel and Tractable Series of Pseudomonas aeruginosa Elastase Inhibitors

Novel therapies are required to treat chronic bacterial infections in cystic fibrosis (CF) sufferers. The most common pathogen responsible for these infections is Pseudomonas aeruginosa, which persists within the lungs of CF sufferers despite intensive antibiotic treatment. P. aeruginosa elastase (also known as LasB or pseudolysin) is a key virulence determinant that contributes to the pathogenesis and persistence of P. aeruginosa infections in CF patients. The crucial role of LasB in pseudomonal virulence makes it a good target for the development of an adjuvant drug for CF treatment. Herein we discuss the discovery of a new series of LasB inhibitors by virtual screening and computer assisted drug design (CADD) and their optimization leading to compounds 29 and 39 (K_i = 0.16 μM and 0.12 μM, respectively).