Application of Artificial Neural Networks for Optimization of Preparation of Insulin Nanoparticles Composed of Quaternized Aromatic Derivatives of Chitosan

Drug Research ◽  
2013 ◽  
Vol 64 (03) ◽  
pp. 151-158 ◽  
Author(s):  
Sh. Shahsavari ◽  
G. Bagheri ◽  
R. Mahjub ◽  
R. Bagheri ◽  
M. Radmehr ◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Artificial Neural ◽  
Derivatives Of

scholarly journals Molecular docking and 3D-QSAR on 16a,17a-cycloalkanoprogesterone analogues as progesterone receptor ligands

2013 ◽  
Vol 59 (6) ◽  
pp. 622-635 ◽  
Author(s):  
I.V. Fedyushkina ◽  
V.S. Skvortsov ◽  
I.V. Romero Reyes ◽  
I.S. Levina
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Molecular Docking ◽  
Progesterone Receptor ◽  
3D Qsar ◽  
Dynamics Simulation ◽  
Receptor Ligands ◽  
Artificial Neural ◽  
Derivatives Of

A series of 42 steroid ligands was used to predict a binding affinity to progesterone receptor. The molecules were the derivatives of 16a,17a-cycloalkanoprogesterones. Different methods of prediction were used and analyzed such as CoMFA and artificial neural networks. The best result (Q2=0.91) was obtained for a combination of molecular docking, molecular dynamics simulation and artificial neural networks. A predictive power of the model was validated by a group of 8 pentarans synthesized separately and tested in vitro (R2test=0.77). This model can be used to determine the affinity level of the ligand to progesterone receptor and accurate ranking of binding compounds.

FUTURE OF ARTIFICIAL NEURAL NETWORKS IN SPACE EXPLORATION AND SPACE ENGINEERING

2018 ◽  
pp. 6-11
Author(s):  
Kobiljon Kh. Zoidov ◽  
◽  
Svetlana V. Ponomareva ◽  
Daniel I. Serebryansky ◽  
◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Space Exploration ◽  
Artificial Neural

Bankruptcy Prediction Models: A Bet on Artificial Neural Networks

2012 ◽  
Vol 3 (2) ◽  
pp. 48-50
Author(s):  
Ana Isabel Velasco Fernández ◽  
◽  
Ricardo José Rejas Muslera ◽  
Juan Padilla Fernández-Vega ◽  
María Isabel Cepeda González
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Prediction Models ◽  
Bankruptcy Prediction ◽  
Artificial Neural
Sign in / Sign up

Export Citation Format

Share Document