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 ◽  
...  
Author(s):  
Vassilios E. Theodoracatos ◽  
Xiaogang Guan

Abstract This paper presents a new Computer-Aided Design (CAD) synthesis model which uses Plex Grammar as structural relationship descriptors and NURBS surface representation for constructing standard and non-standard solid entities. Here, the designer uses a syntactic design methodology for early topological and geometrical definition of the structure of concept alternatives resulting from the design process. This syntactic scheme provides the capability of describing a large set of complex structures by using a small set of simple entities. The recursive nature of the grammar and the hierarchical representation of the structure makes the description of complex structures simple and under the direct control of the designer. An object structure constructive tree is generated and subsequently translated into Plex Grammar production rules in order to form an Interconnection Matrix (ICM) expressing. The resulting Plex structure defined in the ICM expresses the topological information among entities which form the specific types of objects. By modifying the Plex grammar rules, various objects with different geometry and topology can easily be reconstructed. Compared to conventional solid modeling techniques, this approach provides more systematic object generation, easy manipulation and modification, control over congruity and the ability to represent sculptured shapes. Several examples of syntactic solid modeling applied in design synthesis will be presented for further usage in downstream applications.


Author(s):  
M. J. Rupérez ◽  
J. D. Martín ◽  
C. Monserrat ◽  
M. Alcañiz

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.


2011 ◽  
Vol 7 (4) ◽  
pp. 309-316 ◽  
Author(s):  
Jian Jun Tan ◽  
Bin Zhang ◽  
Xiao Jing Cong ◽  
Lei Fu Yang ◽  
Bin Liu ◽  
...  

2000 ◽  
Vol 10 (19) ◽  
pp. 2153-2157 ◽  
Author(s):  
Hong Liu ◽  
Min Ji ◽  
Hualiang Jiang ◽  
Ligang Liu ◽  
Weiyi Hua ◽  
...  

2008 ◽  
Vol 1066 ◽  
Author(s):  
Valeri V. Kalinin ◽  
Alexandre M. Myasnikov ◽  
Vladislav E. Zyryanov

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.


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 ◽  
...  

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