2008
DOI: 10.1016/j.bmc.2008.04.035
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Identification of non-lipid LPA3 antagonists by virtual screening

Abstract: In the present study, we utilized virtual screening to identify LPA 3 antagonists. We have developed a three point structure-based pharmacophore model based on known LPA 3 antagonists. This model was used to mine the NCI database. Docking, pharmacophore development, and database mining produced new, non-lipid leads. Experimental testing of seven computationally-selected pharmacophore hits produced one potentiator and three antagonists, one of which displays both LPA 3 selectivity and nanomolar potency. Similar… Show more

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Cited by 30 publications
(25 citation statements)
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“…These compounds are weak inhibitors with relatively poor efficacy and are nonselective LPA 5 antagonists; however, they provide a valuable starting point for similarity searches and synthetic improvements to optimize the substituent identity and placement on a scaffold already known to provide biological activity. The scaffold defines the overall shape, but differences in electrostatic distribution and localized shape features can produce drastic improvements in potency, efficacy, and selectivity as we have observed in our optimization of LPA 3 receptor antagonists (46).…”
Section: Discussionmentioning
confidence: 69%
“…These compounds are weak inhibitors with relatively poor efficacy and are nonselective LPA 5 antagonists; however, they provide a valuable starting point for similarity searches and synthetic improvements to optimize the substituent identity and placement on a scaffold already known to provide biological activity. The scaffold defines the overall shape, but differences in electrostatic distribution and localized shape features can produce drastic improvements in potency, efficacy, and selectivity as we have observed in our optimization of LPA 3 receptor antagonists (46).…”
Section: Discussionmentioning
confidence: 69%
“…Antagonist activity at a specific receptor could be counterbalanced by agonist or partial agonist activity at a different receptor, as was observed early on with fatty alkyl phosphates [51]. In silico screening using a validated model of the LPA 3 receptor produced lead non-lipid antagonists containing an indole ring system [52]. Similarity searching based on the initial lead filtered based on docking studies produced a high proportion of active compounds, 10 of 16 compounds screened, with 9 of the actives showing greater effect at 10 μM than the lead [53].…”
Section: Antagonist Sarmentioning
confidence: 94%
“…Inositol phosphate production 5987411 [121] 1400 3500 Calcium mobilization NSC161613 [122] 24 Calcium mobilization H2L5186303 [122] 27354 9 1230…”
Section: Lpa As a Profibrotic Mediator 41 Renal Fibrosismentioning
confidence: 99%