ELIZA cgi-bash version rev. 1.90
- Medical English LInking keywords finder for the PubMed Zipped Archive (ELIZA) -

return kwic search for molecular out of >500 occurrences
333489 occurrences (No.56 in the rank) during 5 years in the PubMed. [cache]
232) The best predictive CoMFA model explaining the biological activity of the training and test sets with correlation coefficient values (r(2)) of 0.916 and 0.710, respectively, when used for virtual screening of a flavanoids database following molecular docking revealed a flavanone namely, 7-hydroxyflavanone beta-D-glucopyranoside showing highest predicted activity of 1.09 μM.
--- ABSTRACT ---
PMID:24702656 DOI:10.1080/07391102.2014.912152
2015 Journal of biomolecular structure & dynamics
* Molecular docking and 3D-QSAR-based virtual screening of flavonoids as potential aromatase inhibitors against estrogen-dependent breast cancer.
- Aromatase, catalyzing final step of estrogen biosynthesis, is considered a key target for the development of drug against estrogen-dependent breast cancer (EDBC). Identification and development of naturally occurring compounds, such as flavonoids, as drugs against EDBC is in demand due to their lesser toxicity when compared to those of synthetic ones. Thus, a three-dimensional quantitative structure-activity relationship, using comparative molecular field analysis (CoMFA) was done on a series of 45 flavonoids against human aromatase. A significant cross-validated correlation coefficient (q(2)) of 0.827 was obtained. The best predictive CoMFA model explaining the biological activity of the training and test sets with correlation coefficient values (r(2)) of 0.916 and 0.710, respectively, when used for virtual screening of a flavanoids database following molecular docking revealed a flavanone namely, 7-hydroxyflavanone beta-D-glucopyranoside showing highest predicted activity of 1.09 μM. In comparison to a well-established inhibitor of aromatase, namely 7-hydroxyflavanone (IC50: 3.8 μM), the derivative identified in the present study, namely 7-hydroxyflavanone beta-D-glucopyranoside exhibited about 3.5 folds higher inhibitory activity against aromatase. The result of virtual screening was further validated using molecular dynamics (MD) simulation analysis. Thus, a 25 ns MD simulation analysis revealed high stability and effective binding of 7-hydroxyflavanone beta-D-glucopyranoside within the active site of aromatase. To the best of our knowledge, this is the first report of CoMFA-based QSAR model for virtual screening of flavonoids as inhibitors of aromatase.
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[frequency of next (right) word to molecular]
(1)52 mechanisms (19)5 docking (37)3 recognition (55)2 heparin
(2)26 weight (20)5 information (38)3 serotyping (56)2 identification
(3)18 data (21)5 methods (39)3 sieve (57)2 knowledge
(4)18 mechanism (22)5 modeling (40)3 structure (58)2 mass
(5)16 dynamics (23)5 phylogenetic (41)3 techniques (59)2 mechanisms,
(6)15 and (24)5 targets (42)3 variance (60)2 or
(7)10 analysis (25)4 diagnosis (43)2 Dynamics (61)2 oxygen
(8)10 basis (26)4 interactions (44)2 approach (62)2 perspectives
(9)8 characterization (27)4 level (45)2 biological (63)2 phenotypic
(10)7 epidemiology (28)4 level, (46)2 classification (64)2 phylogenies
(11)7 genetic (29)4 responses (47)2 clock (65)2 probes
(12)7 imaging (30)4 target (48)2 dating (66)2 profiles
(13)6 biology (31)3 evolution (49)2 details (67)2 subtype
(14)6 changes (32)3 features (50)2 diffusion (68)2 therapies
(15)6 markers (33)3 levels (51)2 effects (69)2 underpinnings
(16)6 pathways (34)3 marker (52)2 events
(17)5 analyses (35)3 medicine (53)2 evidence
(18)5 characteristics (36)3 orbital (54)2 genetics

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--- WordNet output for molecular --- =>分子の Overview of adj molecular The adj molecular has 2 senses (first 1 from tagged texts) 1. (6) molecular -- (relating to or produced by or consisting of molecules; "molecular structure"; "molecular oxygen"; "molecular weight is the sum of all the atoms in a molecule") 2. molecular -- (relating to simple or elementary organization; "proceed by more and more detailed analysis to the molecular facts of perception"--G.A. Miller) --- WordNet end ---