Validation of a recent generalized expression of Tc/Pc vs. the van der Waals surface area according to recent measurements

1998 ◽  
Vol 153 (1) ◽  
pp. 23-27 ◽  
Author(s):  
I.V. Yakoumis ◽  
E. Nikitin ◽  
G.M. Kontogeorgis
1997 ◽  
Vol 140 (1-2) ◽  
pp. 145-156 ◽  
Author(s):  
Georgios M. Kontogeorgis ◽  
Iakovos V. Yakoumis ◽  
Philippos Coutsikos ◽  
Dimitrios P. Tassios

2018 ◽  
Vol 47 (16) ◽  
pp. 6342-6369 ◽  
Author(s):  
Ki Kang Kim ◽  
Hyun Seok Lee ◽  
Young Hee Lee

The construction of large surface area hexagonal boron nitride for van der Waals heterostructures and 2D-layered electronics is reviewed.


1996 ◽  
Vol 222 (3) ◽  
pp. 190-194 ◽  
Author(s):  
N. Lin ◽  
J.Q. Ding ◽  
S.H. Yang ◽  
N. Cue

1984 ◽  
Vol 136 (1) ◽  
pp. A1
Author(s):  
John L. Stickney ◽  
Stephen D. Rosasco ◽  
Bruce C. Schardt ◽  
Tihomir Solomun ◽  
Arthur T. Hubbard ◽  
...  

2019 ◽  
Vol 15 (4) ◽  
pp. 294-307
Author(s):  
David M. Rajathei ◽  
Subbiah Parthasarathy ◽  
Samuel Selvaraj

Background: Vortioxetine is a multimodal antidepressant drug with combined effects on SERT as an inhibitor, 5-HT1A as agonist and 5-HT3A as an antagonist. Series of vortioxetine analogs have been reported as multi antidepressant compounds and they block serotonin transport into the neuronal cells, activate the postsynaptic 5-HT1A receptors and eliminate the low activity of 5-HT3A receptors. Objective: To explore the important properties of vortioxetine analogs involved in antidepressant activity by developing 2D QSAR models. Methods: Selections of significant descriptors were performed by Least Absolute Shrinkage and Selection Operator (LASSO) method and, the Multiple Linear Regression (MLR) method and All Subsets and GA algorithm included in QSARINS software were used for generating QSAR models. Further, the virtual screening was performed based on bioactivity and structure similarity using the PubChem database. Results: The four descriptor model of complementary information content (CIC2), solubility (bcutp3), mass (bcutm8) and partial charge in van der Waals surface area (PEOEVSA7) of the molecules is obtained for SERT inhibition with the significant statistics of R2= 0.69, RMSEtr= 0.44, R2 ext= 0.62 and CCCext= 0.78. For 5-HT1A agonist, the two descriptor model of molecular shape (Kappm3) and van der Waals volume of the atoms (bcutv11) with R2= 0.78, RMSEtr= 0.33, R2 ext = 0.83, and CCCext= 0.87 is established. The three descriptor model of information content (IC3), solubility (bcutp9) and electronegativity (GATSe5) of the molecules with R2= 0.61, RMSEtr= 0.34, R2 ext= 0.69 and CCCext= 0.72 is obtained for 5-HT3A antagonist. The antidepressant activities of 16 virtual screened compounds were predicted using the developed models. Conclusion: The developed QSAR models may be useful to predict antidepressant activity for the newly synthesized vortioxetine analogs.


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