scholarly journals Parallelization and performance characterization of protein 3D structure prediction of Rosetta

2006 ◽  
Author(s):  
Wenlong Li ◽  
Tao Wang ◽  
E. Li ◽  
D. Baker ◽  
Li Jin ◽  
...  
Keyword(s):  
Structure Prediction ◽  
3D Structure ◽  
Performance Characterization ◽  
Protein 3D Structure ◽  
3D Structure Prediction ◽  
And Performance

PSSRDBModel- Protein 3D structure prediction server based on the secondary structure informations

2019 ◽  
Vol 16 ◽  
pp. 1596-1602
Author(s):  
E. Loganathan ◽  
K. Dinakaran ◽  
P. Valarmathi ◽  
Gnanendra Shanmugam ◽  
Nagaraja Suryadevara
Keyword(s):  
Secondary Structure ◽  
Structure Prediction ◽  
3D Structure ◽  
Protein 3D Structure ◽  
Prediction Server ◽  
3D Structure Prediction

scholarly journals MUFOLD: A new solution for protein 3D structure prediction

2009 ◽  
Vol 78 (5) ◽  
pp. 1137-1152 ◽  
Author(s):  
Jingfen Zhang ◽  
Qingguo Wang ◽  
Bogdan Barz ◽  
Zhiquan He ◽  
Ioan Kosztin ◽  
...  
Keyword(s):  
Structure Prediction ◽  
3D Structure ◽  
Protein 3D Structure ◽  
3D Structure Prediction

Design, Installation, and Performance Characterization of a Laboratory-Scale Solar Thermal System for Experiments in Solar Energy Utilization

2012 ◽  
Author(s):  
Stephanie Drozek ◽  
Christopher Damm ◽  
Ryan Enot ◽  
Andrew Hjortland ◽  
Brandon Jackson ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Solar Energy ◽  
Laboratory Scale ◽  
Energy Utilization ◽  
Solar Thermal ◽  
Thermal System ◽  
Performance Characterization ◽  
And Performance ◽  
Solar Thermal System

The purpose of this paper is to describe the implementation of a laboratory-scale solar thermal system for the Renewable Energy Systems Laboratory at the Milwaukee School of Engineering (MSOE). The system development began as a student senior design project where students designed and fabricated a laboratory-scale solar thermal system to complement an existing commercial solar energy system on campus. The solar thermal system is designed specifically for educating engineers. This laboratory equipment, including a solar light simulator, allows for variation of operating parameters to investigate their impact on system performance. The equipment will be utilized in two courses: Applied Thermodynamics, and Renewable Energy Utilization. During the solar thermal laboratories performed in these courses, students conduct experiments based on the American Society of Heating, Refrigeration and Air-Conditioning Engineers (ASHRAE) 93-2010 standard for testing and performance characterization of solar thermal systems. Their measurements are then used to quantify energy output, efficiency and losses of the system and subsystem components.

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