| Literature DB >> 28829147 |
Yoshiaki Teraoka1,2, Satoshi Kume1,3,4, Yuxi Lin3, Shogo Atsuji1, Takashi Inui1.
Abstract
Low water solubility of candidate drug compounds is a major problem in pharmaceutical research and development. We developed a novel drug delivery system (DDS) for poorly water-soluble drugs using lipocalin-type prostaglandin D synthase (L-PGDS), which belongs to the lipocalin superfamily and binds a large variety of hydrophobic molecules. In this study, we comprehensively evaluated the capability of L-PGDS to bind and solubilize various poorly water-soluble drugs using structure-based docking. Docking simulations of 2892 commercially available approved drugs indicated that L-PGDS shows higher binding affinities for various drugs compared with 2-hydroxypropyl-β-cyclodextrin. Five drugs selected from the top 100 with the highest binding affinities for L-PGDS exhibited very low solubility in PBS (pH 7.4). However, in the presence of 1 mM L-PGDS, the apparent solubility of all drugs improved markedly, from 19.5- to 166-fold. Calorimetric experiments on two drugs, telmisartan and imatinib, revealed that L-PGDS forms a 1:2 complex with each drug, with dissociation constants of 0.4-40.0 μM. Kinetic simulations of drug dissolution with L-PGDS indicated that the difference in free energy change (ΔΔG) between the insoluble state and the L-PGDS-bound state are within the range from -10 to +5 kJ mol-1. The ΔΔG value is a critical factor in evaluating whether a poorly water-soluble drug can be solubilized by L-PGDS. Collectively, these results demonstrate that in silico docking is a promising approach for identifying drug molecules suitable for the L-PGDS-based DDS.Entities:
Keywords: drug delivery system; isothermal titration calorimetry; lipocalin-type prostaglandin D synthase; pharmaceutical solubilizer; poorly water-soluble drug; structure-based docking
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Year: 2017 PMID: 28829147 DOI: 10.1021/acs.molpharmaceut.7b00590
Source DB: PubMed Journal: Mol Pharm ISSN: 1543-8384 Impact factor: 4.939