Computer Aided Design and Characterization of Novel Acetylcholinesterase Enzyme Inhibitor for Potential Utilize in Alzheimer's Disease Therapy

2019 ◽  
Vol 13 (4) ◽  
pp. 804
Author(s):  
Hasanain Abdulhameed Odha ◽  
Mohammed Ridha A. Alhaideri ◽  
Radhwan M. Hussein ◽  
Hasanain Abdulameer Al-Rahmany ◽  
Sinan Forat Hussein ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Computer Aided Design ◽  
Enzyme Inhibitor ◽  
Disease Therapy ◽  
Computer Aided ◽  
Acetylcholinesterase Enzyme ◽  
Aided Design

Neural Networks for Modeling the Contact Foot-Shoe Upper

2010 ◽  
pp. 561-573
Author(s):  
M. J. Rupérez ◽  
J. D. Martín ◽  
C. Monserrat ◽  
M. Alcañiz
Keyword(s):  
Neural Networks ◽  
Computer Aided Design ◽  
Characteristic Curve ◽  
Neural Model ◽  
Computer Aided ◽  
Materials Used ◽  
Aided Design ◽  
Footwear Design ◽  
The Relationship

Recently, important advances in virtual reality have made possible real improvements in computer aided design, CAD. These advances are being applied to all the fields and they have reached to the footwear design. The majority of the interaction foot-shoe simulation processes have been focused on the interaction between the foot and the sole. However, few efforts have been made in order to simulate the interaction between the shoe upper and the foot surface. To simulate this interaction, flexibility tests (characterization of the relationship between exerted force and displacement) are carried out to evaluate the materials used for the shoe upper. This chapter shows a procedure based on artificial neural networks (ANNs) to reduce the number of flexibility tests that are needed for a comfortable shoe design. Using the elastic parameters of the material as inputs to the ANN, it is possible to find a neural model that provides a unique equation for the relationship between force and displacement instead of a different characteristic curve for each material. Achieved results show the suitability of the proposed approach.

Acetylcholinesterase Enzyme Inhibitor Molecules with Therapeutic Potential for Alzheimer's Disease

2021 ◽  
Vol 20 ◽  
Author(s):  
Bhuvaneswari Siwaraman ◽  
Vijaykumar R. ◽  
Bala Aakash Velmurugan ◽  
Ramalakshmi Natarajan
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Enzyme Inhibitor ◽  
Therapeutic Potential ◽  
Psychological Symptoms ◽  
Heteroaromatic Compounds ◽  
The Central Nervous System ◽  
The Many ◽  
Acetylcholinesterase Enzyme ◽  
Ellman’S Method

: Acetylcholinesterase (AchE), hydrolase enzyme, regulates the hydrolysis of acetylcholine neurotransmitter in the neurons. AchE is found majorly in the central nervous system at the site of cholinergic neurotransmission. It is involved in the pathophysiology of Alzheimer’s disease-causing dementia, cognitive impairment, behavioral and psychological symptoms. Recent findings involved the inhibition of AchE that could aid in the treatment of Alzheimer's. Many drugs of different classes being analyzed in the clinical trials and examined for their potency. Drugs that are used in the treatment of Alzheimer’s disease are donepezil, galantamine, tacrine, rivastigmine shows major adverse effects. To overcome this, researchers work on novel drugs to elicit inhibition. This review comprises the many hybrids and non-hybrid forms of heteroaromatic and non-heteroaromatic compounds that were designed and evaluated for AchE inhibition by Ellman’s method of assay. These novel compounds may assist the future perspectives in the discovery of novel moieties against Alzheimer’s disease by the inhibition of AchE.

Impurities and Grain Size Modeling in Recrystallized Silicon

2008 ◽  
Vol 1066 ◽  
Author(s):  
Valeri V. Kalinin ◽  
Alexandre M. Myasnikov ◽  
Vladislav E. Zyryanov
Keyword(s):  
Grain Size ◽  
Quality Control ◽  
Amorphous Silicon ◽  
Computer Aided Design ◽  
Silicon Film ◽  
Calculated Data ◽  
Computer Aided ◽  
Lateral Crystallization ◽  
Aided Design

ABSTRACTIn our previous publications [1, 2 and 3], spreading resistance probe (SRP) measurements for quality control of metal induced lateral crystallization (MILC) of amorphous silicon (a-Si) were studied, and the mechanism of nickel diffusion was simulated using technology computer-aided design (TCAD) modeling.Now, we continue to present the explanation of experimental results by modeling with the Synopsys TCAD package, whereby models for resistivity vs. grain size in implanted recrystallized silicon layers are implemented and compared with experiments.Findings show that the SRP method can be used for the characterization of the MILC process of amorphous silicon and that a comparison of experimental and calculated data allows both a turn from qualitative to quantitative analysis of recrystallized silicon film and an estimate of grain size. It has been found that grain size depends on location in the MILC region and on the time and temperature of recrystallization.

Computer aided design and NMR characterization of an oligopeptide targeting the Ebola virus VP24 protein

2017 ◽  
Vol 41 (11) ◽  
pp. 4308-4315 ◽  
Author(s):  
Federico Dapiaggi ◽  
Stefano Pieraccini ◽  
Donatella Potenza ◽  
Francesca Vasile ◽  
Helena Macut ◽  
...  
Keyword(s):  
Computer Aided Design ◽  
Ebola Virus ◽  
Computational Studies ◽  
Nmr Characterization ◽  
Computer Aided ◽  
Aided Design

The nona-peptide RS, designed on the basis of computational studies, is able to interact with Ebola VP24 and potentially inhibit its interaction with KPNA.

Computer-aided design, synthesis and biological characterization of novel inhibitors for PKMYT1

2019 ◽  
Vol 161 ◽  
pp. 479-492 ◽  
Author(s):  
Abdulkarim Najjar ◽  
Charlott Platzer ◽  
Anton Luft ◽  
Chris Alexander Aßmann ◽  
Nehal H. Elghazawy ◽  
...  
Keyword(s):  
Computer Aided Design ◽  
Biological Characterization ◽  
Design Synthesis ◽  
Computer Aided ◽  
Aided Design
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