Dataset Information

Synthesis and structure-activity relationship studies of novel dihydropyridones as androgen receptor modulators.

ABSTRACT: A library of 3-hydroxy-2,3-dihydropyridones was synthesized, and their activities as antiandrogens were tested in the human prostate cancer cell line LNCaP. Structure-activity relationship (SAR) studies resulted in the identification of a potent compound whose activity is comparable to that of MDV3100. Homology modeling and molecular mechanics were used to build a structural model of the androgen receptor-ligand binding domain and to investigate the structural basis of the antagonism. The model is qualitatively consistent with the observed SAR. Moreover, the enrichment plot shows that screening with the model performs significantly better than random screening. Therefore, the model probably represents a realistic conformation of the antagonist form and can be utilized for structure-based design of novel antiandrogens.

SUBMITTER: Pepe A

PROVIDER: S-EPMC7581280 | biostudies-literature | 2013 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Synthesis and structure-activity relationship studies of novel dihydropyridones as androgen receptor modulators.

Pepe Antonella A Pamment Michael M Kim Yeong Sang YS Lee Sunmin S Lee Min-Jung MJ Beebe Kristin K Filikov Anton A Neckers Len L Trepel Jane B JB Malhotra Sanjay V SV

Journal of medicinal chemistry 20131030 21

A library of 3-hydroxy-2,3-dihydropyridones was synthesized, and their activities as antiandrogens were tested in the human prostate cancer cell line LNCaP. Structure-activity relationship (SAR) studies resulted in the identification of a potent compound whose activity is comparable to that of MDV3100. Homology modeling and molecular mechanics were used to build a structural model of the androgen receptor-ligand binding domain and to investigate the structural basis of the antagonism. The model ...[more]

PMID: 24044500

Similar Datasets

Project description:BackgroundMultidrug resistance (MDR) is a major obstacle in cancer chemotherapy. The drug efflux by a transport protein is the main reason for MDR. In humans, MDR mainly occurs when the ATP-binding cassette (ABC) family of proteins is overexpressed simultaneously. P-glycoprotein (P-gp) is most commonly associated with human MDR; it utilizes energy from adenosine triphosphate (ATP) to transport a number of substrates out of cells against concentration gradients. By the active transport of substrates against concentration gradients, intracellular concentrations of substrates are decreased. This leads to the cause of failure in cancer chemotherapy.ResultsHerein, we report Topomer CoMFA (Comparative Molecular Field Analysis) and HQSAR (Hologram Quantitative Structure Activity Relationship) models for third generation MDR modulators. The Topomer CoMFA model showed good correlation between the actual and predicted values for training set molecules. The developed model showed cross validated correlation coefficient (q2) = 0.536 and non-cross validated correlation coefficient (r2) = 0.975 with eight components. The best HQSAR model (q2 = 0.777, r2 = 0.956) with 5-8 atom counts was used to predict the activity of test set compounds. Both models were validated using test set compounds, and gave a good predictive values of 0.604 and 0.730.ConclusionsThe contour map near R1 indicates that substitution of a bulkier and polar group to the ortho position of the benzene ring enhances the inhibitory effect. This explains why compounds with a nitro group have good inhibitory potency. Molecular fragment analyses shed light on some essential structural and topological features of third generation MDR modulators. Fragments analysis showed that the presence of tertiary nitrogen, a central phenyl ring and an aromatic dimethoxy group contributed to the inhibitory effect. Based on contour map information and fragment information, five new molecules with variable R1 substituents were designed. The activity of these designed molecules was predicted by the Topomer CoMFA and HQSAR models. The novel compounds showed higher potency than existing compounds.

Dataset Information

Synthesis and structure-activity relationship studies of novel dihydropyridones as androgen receptor modulators.

Publications

Synthesis and structure-activity relationship studies of novel dihydropyridones as androgen receptor modulators.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure