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1.
Mol Pharm ; 3(1): 33-44, 2006.
Article in English | MEDLINE | ID: mdl-16686367

ABSTRACT

Multidrug resistance mediated by ATP binding cassette (ABC) transporters such as P-glycoprotein (P-gp) represents a serious problem for the development of effective anticancer drugs. In addition, P-gp has been shown to reduce oral absorption, modulate hepatic, renal, or intestinal elimination, and restrict blood-brain barrier penetration of several drugs. Consequently, there is a great interest in anticipating whether drug candidates are P-gp substrates or inhibitors. In this respect, two different computational models have been developed. A method for discriminating P-gp substrates and nonsubstrates has been set up based on calculated molecular descriptors and multivariate analysis using a training set of 53 diverse drugs. These compounds were previously classified as P-gp substrates or nonsubstrates on the basis of the efflux ratio from Caco-2 permeability measurements. The program Volsurf was used to compute the compounds' molecular descriptors. The descriptors were correlated to the experimental classes using partial least squares discriminant analysis (PLSD). The model was able to predict correctly the behavior of 72% of an external set of 272 proprietary compounds. Thirty of the 53 previously mentioned drugs were also evaluated for P-gp inhibition using a calcein-AM (CAM) assay. On the basis of these additional P-gp functional data, a PLSD analysis using GRIND-pharmacophore-based descriptors was performed to model P-gp substrates having poor or no inhibitory activity versus inhibitors having no evidence of significant transport. The model was able to discriminate between 69 substrates and 56 inhibitors taken from the literature with an average accuracy of 82%. The model allowed also the identification of some key molecular features that differentiate a substrate from an inhibitor, which should be taken into consideration in the design of new candidate drugs. These two models can be implemented in a virtual screening funnel.


Subject(s)
ATP Binding Cassette Transporter, Subfamily B, Member 1/chemistry , Antineoplastic Agents/chemistry , Computer Simulation , Models, Chemical , Quantitative Structure-Activity Relationship , ATP Binding Cassette Transporter, Subfamily B, Member 1/antagonists & inhibitors , ATP Binding Cassette Transporter, Subfamily B, Member 1/metabolism , Antineoplastic Agents/pharmacology , Caco-2 Cells , Cell Membrane Permeability/drug effects , Cell Membrane Permeability/physiology , Drug Screening Assays, Antitumor , Humans , Models, Molecular , Substrate Specificity , Tumor Cells, Cultured
2.
Bioorg Med Chem Lett ; 12(11): 1467-71, 2002 Jun 03.
Article in English | MEDLINE | ID: mdl-12031321

ABSTRACT

In vitro and in vivo activities of a small series of alpha-bromoacrylic derivatives of low molecular weight (MW) are described and compared with those of alpha-bromoacrylic derivatives of distamycin-like frames. Low MW compounds, when lacking of a strong basic moiety, are potent cytotoxics, while analogues bearing a strong basic moiety are not. This suggests the existence of an active transport mechanism for distamycin-derived cytotoxics characterized by strong basic amidino or guanidino moieties. Low MW compounds are inactive in vivo, possibly because of the metabolic lability of alpha-bromoacrylic moiety. The same moiety is however present in a series of potent anticancer distamycin-like minor groove binders, for example, PNU-166196 (brostallicin), a fact that underlines the features of the latter.


Subject(s)
Acrylates/chemical synthesis , Acrylates/pharmacology , Antineoplastic Agents/chemical synthesis , Antineoplastic Agents/pharmacology , Hydrocarbons, Brominated/chemical synthesis , Hydrocarbons, Brominated/pharmacology , Acrylates/chemistry , Acrylates/pharmacokinetics , Animals , Antineoplastic Agents/chemistry , Antineoplastic Agents/pharmacokinetics , Biological Transport, Active/drug effects , Caco-2 Cells/drug effects , Caco-2 Cells/metabolism , Cell Survival/drug effects , DNA/metabolism , Distamycins/chemistry , Distamycins/pharmacology , Dose-Response Relationship, Drug , Humans , Hydrocarbons, Brominated/chemistry , Hydrocarbons, Brominated/pharmacokinetics , In Vitro Techniques , Leukemia L1210/drug therapy , Mice , Molecular Weight , Structure-Activity Relationship
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