MEMBPLUGIN: studying membrane complexity in VMD [PDF]
Bioinformatics, 2014 AbstractSummary: Computer simulations are giving way to more complex and accurate studies of biological membranes by molecular dynamics (MD) simulations. The analysis of MD trajectories comprises the biophysical characterization of membrane properties or the study of protein–lipid interactions and dynamics.
Ramon Guixà-González +6 more
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Energies, 2020 Since variational mode decomposition (VMD) was proposed, it has been widely used in condition monitoring and fault diagnosis of mechanical equipment. However, the parameters K and α in the VMD algorithm need to be set before decomposition, which ...
Hui Li +5 more
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Nanoscale Analysis of the Interaction Between Cyanoacrylate and Vacuum Metal Deposition in the Development of Latent Fingermarks on Low-Density Polyethylene [PDF]
, 2012 Vacuum metal deposition (VMD) has been previously demonstrated as an effective development technique for latent fingermarks and in some cases has been shown to enhance prints developed with cyanoacrylate (CA) (superglue) fuming.
Sears, V.G., Jones, Benjamin, Downham, R
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International Journal of Applied Mechanics and Engineering, 2022 An analysis is carried out to study chemically reactive, viscous dissipative effects of an incompressible and electrically conducting fluid with MHD free convection adjacent to a vertical surface with variable thermal conductivity (VTD) and variable mass
J. Phakirappa +3 more
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Growth prediction of Microcystis aeruginosa based on a secondary decomposition integration model
Water Science and Technology, 2023 Microcystis aeruginosa is the dominant species in the blooms of eutrophic lakes such as Taihu Lake in China. Chlorophyll-a is one of the most common indicators to characterize its biomass.
Juan Huan +5 more
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Short-term prediction of the significant wave height and average wave period based on the variational mode decomposition–temporal convolutional network–long short-term memory (VMD–TCN–LSTM) algorithm [PDF]
Ocean Science, 2023 The present work proposes a prediction model of significant wave height (SWH) and average wave period (APD) based on variational mode decomposition (VMD), temporal convolutional networks (TCNs), and long short-term memory (LSTM) networks.
Q. Ji +6 more
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Software pipeline for predicting and analyzing the structure of the receptor–ligand
Учёные записки Казанского университета: Серия Физико-математические науки, 2022 It is of fundamental importance in pharmacology and theoretical biology to analyze the binding of ligands to receptors. A better understanding of this process and its outcomes can help predict the following: how the protein interacts with ligands ...
A.S. Kozlova +3 more
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VMD-SS: A graphical user interface plug-in to calculate the protein secondary structure in VMD program [PDF]
Bioinformation, 2014 The investigation on the types of secondary structure (SS) of a protein is important. The evolution of secondary structures during molecular dynamics simulations is a useful parameter to analyze protein structures. Therefore, it is of interest to describe VMD-SS (a software program) for the identification of secondary structure elements and its ...
Yahyavi, Masoumeh +4 more
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LED-Lidar Echo Denoising Based on Adaptive PSO-VMD
, 2022 LED (light-emitting diode)-lidar (light detection and ranging) has gradually been focused on by researchers because of its characteristics of low power, high stability, and safety to human eyes.
Bei Liu +5 more
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Fusion of GNSS and Speedometer Based on VMD and Its Application in Bridge Deformation Monitoring
Sensors, 2020 Real-time dynamic displacement and spectral response on the midspan of Jiangyin Bridge were calculated using Global Navigation Satellite System (GNSS) and a speedometer for the purpose of understanding the dynamic behavior and the temporal evolution of ...
Ruicheng Zhang +3 more
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