Structure Optimization and Reconfigurable Design of CycleGAN

2022 ◽  
pp. 1289-1296
Author(s):  
Xiaoyan Xie ◽  
Miaomiao Chai ◽  
Lin Jiang ◽  
Zhuolin Du ◽  
Kun Yang ◽  
...  
Keyword(s):  
Structure Optimization ◽  
Reconfigurable Design

Lead structure optimization of compounds identified to induce differentiation in solid tumors

2018 ◽  
Author(s):  
K Esser ◽  
A Kulik ◽  
A Klinger ◽  
E Fleischer ◽  
H Neubauer ◽  
...  
Keyword(s):  
Solid Tumors ◽  
Structure Optimization ◽  
Lead Structure

Unfurlable Space Structure Optimization

2021 ◽  
Author(s):  
Munira Sibai ◽  
Daisaku Inoyama ◽  
Tom G. Stoumbos ◽  
Rakesh K. Kapania
Keyword(s):  
Structure Optimization ◽  
Space Structure

Hoist Sheave Structure Optimization and Lightweight

2015 ◽  
Vol 741 ◽  
pp. 133-137
Author(s):  
Xian Zhao Jia ◽  
Yong Fei Wang
Keyword(s):  
Working Condition ◽  
Geometric Model ◽  
Structure Optimization ◽  
Element Model ◽  
Stiffened Plate ◽  
Optimal Result ◽  
Ansys Software ◽  
Table Analysis ◽  
3D Geometric Model ◽  
Relational Table

To ensure wheel body of the hoisting sheave strength and stability condition. For the purpose of wheel body lightweighting. There are two schemes to reduce body weight.Reduce the spokes at the same time increase the ring stiffened plate, and reduce the spokes at the same time change the spokes width and thickness.The wheel body was established based on Pro/E 3D geometric model. Import the mesh in the Workbench of ANSYS software for finite element model. Statics analysis to select the optimized scheme. Establish a hoisting sheave wheel body under the actual working condition of widening the width - deformation - wheel weight relational table. Analysis to lightweight at the same time ensure that stiffness of wheel,then it can obtaine the optimal result.

scholarly journals Structure Optimization and Sealing Performance of Double Corrugated Self-Sealing Composite Gasket

2021 ◽  
Vol 714 (3) ◽  
pp. 032080
Author(s):  
Wei Tan ◽  
Jinya Xu ◽  
Xin Zhou ◽  
Wenfei Deng ◽  
Xiaoming Yu ◽  
...  
Keyword(s):  
Structure Optimization ◽  
Sealing Performance

scholarly journals Network consumption demand analysis and structure optimization based on big data

2021 ◽  
Vol 1800 (1) ◽  
pp. 012013
Author(s):  
Juanxia Zhao ◽  
Chunhong Zhu ◽  
Yanmin Huang
Keyword(s):  
Big Data ◽  
Structure Optimization ◽  
Demand Analysis ◽  
Consumption Demand

scholarly journals Small and Simple, yet Sturdy: Conformationally Constrained Peptides with Remarkable Properties

2021 ◽  
Vol 22 (4) ◽  
pp. 1611
Author(s):  
Krištof Bozovičar ◽  
Tomaž Bratkovič
Keyword(s):  
Chemical Space ◽  
Structure Optimization ◽  
Peptide Chain ◽  
Conformationally Constrained ◽  
Drug Candidates ◽  
Conformational Constraints ◽  
Macrocyclic Peptides ◽  
Constrained Peptides ◽  
Sheer Size

The sheer size and vast chemical space (i.e., diverse repertoire and spatial distribution of functional groups) underlie peptides’ ability to engage in specific interactions with targets of various structures. However, the inherent flexibility of the peptide chain negatively affects binding affinity and metabolic stability, thereby severely limiting the use of peptides as medicines. Imposing conformational constraints to the peptide chain offers to solve these problems but typically requires laborious structure optimization. Alternatively, libraries of constrained peptides with randomized modules can be screened for specific functions. Here, we present the properties of conformationally constrained peptides and review rigidification chemistries/strategies, as well as synthetic and enzymatic methods of producing macrocyclic peptides. Furthermore, we discuss the in vitro molecular evolution methods for the development of constrained peptides with pre-defined functions. Finally, we briefly present applications of selected constrained peptides to illustrate their exceptional properties as drug candidates, molecular recognition probes, and minimalist catalysts.

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