Extended Concerted Rotation Technique Enhances the Sampling Efficiency of the Computational Peptide-Design Algorithm

2017 ◽  
Vol 13 (11) ◽  
pp. 5709-5720 ◽  
Author(s):  
Xingqing Xiao ◽  
Yiming Wang ◽  
Joshua N. Leonard ◽  
Carol K. Hall
Keyword(s):  
Sampling Efficiency ◽  
Peptide Design ◽  
Design Algorithm ◽  
Rotation Technique ◽  
Concerted Rotation

ENPDA: an evolutionary structure-based de novo peptide design algorithm

2005 ◽  
Vol 19 (8) ◽  
pp. 585-601 ◽  
Author(s):  
Ignasi Belda ◽  
Sergio Madurga ◽  
Xavier Llorà ◽  
Marc Martinell ◽  
Teresa Tarragó ◽  
...  
Keyword(s):  
De Novo ◽  
Peptide Design ◽  
Design Algorithm ◽  
De Novo Peptide Design ◽  
De Novo Peptide

Characteristics Sampling Efficiency and Battery Life of Smart Air Sampler System (SASS) 3000 and SASS 3100

2010 ◽  
Author(s):  
Jana Kesavan ◽  
Deborah Schepers ◽  
Tiffany Sutton ◽  
Paul Deluca ◽  
Michael Williamson ◽  
...  
Keyword(s):  
Battery Life ◽  
Sampling Efficiency ◽  
Air Sampler

Suction Lysimeter Modifications to Improve Sampling Efficiency and Prevent Wildlife Damage

2006 ◽  
Vol 5 (1) ◽  
pp. 77-79 ◽  
Author(s):  
Charles G. Crabtree ◽  
Tina M. Seaman
Keyword(s):  
Sampling Efficiency ◽  
Wildlife Damage

Machine Learning in Quantitative Protein–peptide Affinity Prediction: Implications for Therapeutic Peptide Design

2019 ◽  
Vol 20 (3) ◽  
pp. 170-176 ◽  
Author(s):  
Zhongyan Li ◽  
Qingqing Miao ◽  
Fugang Yan ◽  
Yang Meng ◽  
Peng Zhou
Keyword(s):  
Machine Learning ◽  
Binding Affinity ◽  
Peptide Binding ◽  
Machine Learning Techniques ◽  
Future Perspective ◽  
Peptide Design ◽  
Human Interactome ◽  
Therapeutic Peptide ◽  
Peptide Affinity ◽  
Peptide Binding Affinity

Background:Protein–peptide recognition plays an essential role in the orchestration and regulation of cell signaling networks, which is estimated to be responsible for up to 40% of biological interaction events in the human interactome and has recently been recognized as a new and attractive druggable target for drug development and disease intervention.Methods:We present a systematic review on the application of machine learning techniques in the quantitative modeling and prediction of protein–peptide binding affinity, particularly focusing on its implications for therapeutic peptide design. We also briefly introduce the physical quantities used to characterize protein–peptide affinity and attempt to extend the content of generalized machine learning methods.Results:Existing issues and future perspective on the statistical modeling and regression prediction of protein– peptide binding affinity are discussed.Conclusion:There is still a long way to go before establishment of general, reliable and efficient machine leaningbased protein–peptide affinity predictors.

scholarly journals M2 plane rotation technique for approaching M2 perpendicularly to obliterate aneurysms with interlocking clipping: Technical case report

2021 ◽  
pp. 101316
Author(s):  
Wataru Yanagihara ◽  
Hiroshi Kashimura ◽  
Yosuke Akamatsu ◽  
Jun Yoshida ◽  
Daigo Kojima
Keyword(s):  
Case Report ◽  
Plane Rotation ◽  
Rotation Technique

scholarly journals A novel current controller design for grid-integrated PV inverter system

2021 ◽  
Vol 3 (3) ◽  
Author(s):  
Ayaz Ahmad ◽  
L. Rajaji ◽  
A. Iqbal
Keyword(s):  
Controller Design ◽  
Vital Role ◽  
Current Feedback ◽  
Lcl Filter ◽  
Design Algorithm ◽  
Grid Voltage ◽  
Pv Inverter ◽  
Current Controller ◽  
Experimental Implementation ◽  
Grid Connected Inverter

AbstractDistributed generators are playing a vital role in supporting the grid in ever-increasing energy demands. Grid code regulation must be followed when integrating the photovoltaic inverter system to the grid. The paper investigates and analyzes a controller model for grid-connected PV inverters to inject sinusoidal current to the grid with minimum distortion. To achieve better tracking and disturbance rejection, a DSP-based current controller is designed with LCL filter. The controller gets the current feedback from the grid, compares it with reference current, and calculates duty cycle to generate PWM pulses to trigger H-bridge converters. The grid voltage is loaded to the initial value in proposed PR controller to ensure the initial inverter voltage to match the grid voltage. The paper presents a novel current controller algorithm for grid-connected inverter system, and simulation is done. A detailed analysis has been carried out to validate the proposed design algorithm. Experimental implementation of the current controller in the DC/AC converter circuits with an LCL filter is done for 5.4 kW to validate and match the simulation model.

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