[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Dai et al., 2010 - Google Patents

Molecular docking and QSAR study on steroidal compounds as aromatase inhibitors

Dai et al., 2010

Document ID
8681117775841609934
Author
Dai Y
Wang Q
Zhang X
Jia S
Zheng H
Feng D
Yu P
Publication year
Publication venue
European journal of medicinal chemistry

External Links

Snippet

In order to develop more potent, selective and less toxic steroidal aromatase (AR) inhibitors, molecular docking, 2D and 3D hybrid quantitative structure–activity relationship (QSAR) study have been conducted using topological, molecular shape, spatial, structural and …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G06F19/16Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for molecular structure, e.g. structure alignment, structural or functional relations, protein folding, domain topologies, drug targeting using structure data, involving two-dimensional or three-dimensional structures
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G06F19/18Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for functional genomics or proteomics, e.g. genotype-phenotype associations, linkage disequilibrium, population genetics, binding site identification, mutagenesis, genotyping or genome annotation, protein-protein interactions or protein-nucleic acid interactions
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/48Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing

Similar Documents

Publication Publication Date Title
Dai et al. Molecular docking and QSAR study on steroidal compounds as aromatase inhibitors
Varela et al. New structure–activity relationships of A-and D-ring modified steroidal aromatase inhibitors: design, synthesis, and biochemical evaluation
Sahayarayan et al. In-silico protein-ligand docking studies against the estrogen protein of breast cancer using pharmacophore based virtual screening approaches
Chumsri et al. Aromatase, aromatase inhibitors, and breast cancer
Bennett et al. Structure of 3α-hydroxysteroid/dihydrodiol dehydrogenase complexed with NADP+
Jin et al. Crystal structure of human type III 3α-hydroxysteroid dehydrogenase/bile acid binding protein complexed with NADP+ and ursodeoxycholate
Woo et al. First dual aromatase-steroid sulfatase inhibitors
Ghosh et al. Mechanism of inhibition of 3α, 20β-hydroxysteroid dehydrogenaseby a licorice-derived steroidal inhibitor
Cai et al. Novel fatty acid binding protein 4 (FABP4) inhibitors: virtual screening, synthesis and crystal structure determination
Favia et al. Computational methods for the design of potent aromatase inhibitors
Khodarahmi et al. Design of novel potential aromatase inhibitors via hybrid pharmacophore approach: docking improvement using the QM/MM method
Roleira et al. C-6α-vs C-7α-substituted steroidal aromatase inhibitors: Which is better? Synthesis, biochemical evaluation, docking studies, and structure–activity relationships
Zeng Mini-review: computational structure-based design of inhibitors that target protein surfaces
Pan et al. Molecular dockings and molecular dynamics simulations reveal the potency of different inhibitors against xanthine oxidase
Banjare et al. Structure guided molecular docking assisted alignment dependent 3DQSAR study on steroidal aromatase inhibitors (SAIs) as anti-breast cancer agents
Heng et al. Designing inhibitors against fructose 1, 6-bisphosphatase: Exploring natural products for novel inhibitor scaffolds
Roy et al. Molecular docking and QSAR studies of aromatase inhibitor androstenedione derivatives
Karkola et al. A 3D QSAR Model of 17β‐HSD1 Inhibitors Based on a Thieno [2, 3‐d] pyrimidin‐4 (3H)‐one Core Applying Molecular Dynamics Simulations and Ligand–Protein Docking
Zhu et al. Molecular modelling study of the mechanism of high-potency inhibition of human catechol-O-methyltransferase by (–)-epigallocatechin-3-O-gallate
García et al. Trends in Bioinformatics and Chemoinformatics of Vitamin D Analogs and Their Protein Targets
Bertoletti et al. New insights into human 17β-hydroxysteroid dehydrogenase type 14: first crystal structures in complex with a steroidal ligand and with a potent nonsteroidal inhibitor
Rendi et al. Molecular Docking of Compounds in Moringa oleifera Lam with Dipeptidyl Peptidase-4 Receptors as Antidiabetic Candidates
Banjare et al. Lead molecules as novel aromatase inhibitors: In silico de novo designing and binding affinity studies
Madeswaran et al. In silico docking studies of aldose reductase inhibitory activity of commercially available flavonoids
Zhorov et al. Monte Carlo‐minimized energy profile of estradiol in the ligand‐binding tunnel of 17β‐hydroxysteroid dehydrogenase: Atomic mechanisms of steroid recognition