Article
Structure-activity relationships of 3-deoxy androgens as aromatase inhibitors. Synthesis and biochemical studies of 4-substituted 4-ene and 5-ene steroids.
Tohoku Pharmaceutical University, 4-1 Komatsushima-4-chome, Aobaku, 981-8558, Sendai, Japan.
Steroids (impact factor:
2.83).
09/2003;
68(6):533-42.
pp.533-42
Source: PubMed
-
Citations (0)
- Cited In (2)
-
Article: QSAR Study of Androstenedione Analogs as Aromatase Inhibitors
[show abstract] [hide abstract]
ABSTRACT: The aromatase enzyme is responsible for conversion of androgens to phenolic estrogens. The five-dimensional quantitative structure-activity relationships (5D-QSAR) of a series of androstenedione analogs developed as aromatase in-hibitors were studied using the Raptor program. The best model (N=47, q 2 =0.660, R 2 =0.719) showed contributions of the hydrophobic, hydrogen-bond-donating and hydrogen-bond-accepting fields to the activity. The model was also externally validated using 12 compounds (test set) not included in the model generation process. The statistical parameters from the model indicate that the data are well fitted and have good predictive ability. Thus it was possible to generate and to vali-date aromatase receptor surrogates through the prediction of relative free energies of aromatase inhibitors binding in re-ceptor-modeling studies.Frontiers in Drug Design & Discovery 01/2009; 6:554. -
Article: QSAR Study of Androstenedione Analogs as Aromatase Inhibitors
[show abstract] [hide abstract]
ABSTRACT: The aromatase enzyme is responsible for conversion of androgens to phenolic estrogens. The five-dimensional quantitative structure-activity relationships (5D-QSAR) of a series of androstenedione analogs developed as aromatase inhibitors were studied using the Raptor program. The best model (N=47, q2=0.660, R2=0.719) showed contributions of the hydrophobic, hydrogen-bond-donating and hydrogen-bond-accepting fields to the activity. The model was also externally validated using 12 compounds (test set) not included in the model generation process. The statistical parameters from the model indicate that the data are well fitted and have good predictive ability. Thus it was possible to generate and to validate aromatase receptor surrogates through the prediction of relative free energies of aromatase inhibitors binding in receptor- modeling studies.Letters in Drug Design & Discovery 11/2009; 6(8):554-562. · 0.87 Impact Factor
Data provided are for informational purposes only. Although carefully collected, accuracy cannot be guaranteed.
The impact factor represents a rough estimation of the journal's impact factor and does not reflect the actual
current impact factor.
Publisher conditions are provided by RoMEO. Differing provisions from the publisher's actual policy or licence
agreement may be applicable.
Keywords
4-acetoxy steroids
4-acyloxy steroids
4beta-alkyl
4beta-alkyl steroids
4beta-phenylalkyl compounds
4beta-substituted 5alpha-hydroxy products
acetoxy group
alkyl function
aromatase inhibitors
binding site
carbon number
effective aromatase inhibitors
key reactions
non-competitive inhibitor
non-polar alkoxy
novel class
phenylalkyl
present findings
structure-activity relationship
subsequent dehydration