2004
DOI: 10.1002/ardp.200300817
|View full text |Cite
|
Sign up to set email alerts
|

Lead Identification for Modulators of Multidrug Resistance based on in silico Screening with a Pharmacophoric Feature Model

Abstract: Considerable effort has been devoted to the characterization of P-glycoprotein - drug interaction in the past. Systematic quantitative structure-activity relationship (QSAR) studies identified both predictive physicochemical parameters and pharmacophoric substructures within homologous series of compounds. Comparative molecular field analysis (CoMFA) led to distinct 3D-QSAR models for propafenone and phenothiazine analogs. Recently, several pharmacophore models have been generated for diverse sets of ligands. … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

1
33
0

Year Published

2005
2005
2022
2022

Publication Types

Select...
5
2

Relationship

1
6

Authors

Journals

citations
Cited by 63 publications
(34 citation statements)
references
References 28 publications
1
33
0
Order By: Relevance
“…To date, several P-gp models derived from both efflux and inhibition data have been reported (Ekins and Swaan, 2004;Chang and Swaan, 2005), but application of these models to identify novel P-gp substrates or inhibitors has not been explored. Recently, Langer et al (2004) described a P-gp pharmacophore that was subsequently utilized to screen molecular databases to select putative P-gp inhibitors. However, without in vitro validation of the predicted molecules, the impact of the work and the validity of the predictions remain to be seen.…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…To date, several P-gp models derived from both efflux and inhibition data have been reported (Ekins and Swaan, 2004;Chang and Swaan, 2005), but application of these models to identify novel P-gp substrates or inhibitors has not been explored. Recently, Langer et al (2004) described a P-gp pharmacophore that was subsequently utilized to screen molecular databases to select putative P-gp inhibitors. However, without in vitro validation of the predicted molecules, the impact of the work and the validity of the predictions remain to be seen.…”
Section: Discussionmentioning
confidence: 99%
“…In current drug discovery, the prospective application of pharmacophore models for database screening and the identification of P-gp substrates/inhibitors is limited (for a review, see Chang and Swaan, 2005) and not usually supported by experimental verification (Langer et al, 2004). Therefore, the objectives of the present study were to utilize and validate three unique P-gp pharmacophore models derived from substrate and inhibition data.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The results obtained in this study are consistent with the recent findings by three dimensional quantitative structure activity relationship model studies. 20) Flavonoids seem to have the potential to overcome the multidrug resistance that results from the active efflux of anti-tumor drugs by P-gp. On the basis of this study, further studies are currently in progress to clarify the structural requirements for the inhibitory effects of a wide variety of flavonoids, including those which have large substituents as well as other polyphenols such as alkyl gallates.…”
Section: Discussionmentioning
confidence: 99%
“…After applying an additional shape filter, 32 structurally diverse hits were retrieved. Nine out of these 32 compounds have already been described as P-gp inhibitors [86]. Thus, it is rather likely that the other compounds selected also bind to P-gp.…”
Section: Sar-and Qsar Studies On Inhibitors Of Abc Transportersmentioning
confidence: 99%