Results 11 to 20 of about 633,090 (317)
A degradation signal recognition in prokaryotes [PDF]
Journal of Synchrotron Radiation, 2008 The degradation of ssrA-tagged substrates in prokaryotes is conducted by a subset of ATP-dependent proteases, including ClpXP complex. More than 630 sequences of ssrA have been identified from 514 species, and are conserved in a wide range of prokaryotes.
Park, Eun Young, Song, Hyun Kyu
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Applied Sciences, 2022 Brain activity stimulated by the motor imagery paradigm (MI) is measured by Electroencephalography (EEG), which has several advantages to be implemented with the widely used Brain–Computer Interfaces (BCIs) technology.
Diego F. Collazos-Huertas +2 more
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Recognition of the polyubiquitin proteolytic signal [PDF]
The EMBO Journal, 2000 Polyubiquitin chains linked through Lys48 are the principal signal for targeting substrates to the 26S proteasome. Through studies of structurally defined, polyubiquitylated model substrates, we show that tetraubiquitin is the minimum signal for efficient proteasomal targeting. The mechanism of targeting involves a simple increase in substrate affinity
J S, Thrower +3 more
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Enhanced Multiple Instance Representation Using Time-Frequency Atoms in Motor Imagery Classification
Frontiers in Neuroscience, 2020 Selection of the time-window mainly affects the effectiveness of piecewise feature extraction procedures. We present an enhanced bag-of-patterns representation that allows capturing the higher-level structures of brain dynamics within a wide window range.
Diego Collazos-Huertas +3 more
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Sensors, 2022 The Electroencephalography (EEG)-based motor imagery (MI) paradigm is one of the most studied technologies for Brain-Computer Interface (BCI) development.
Mateo Tobón-Henao +2 more
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, 2022 Electrocardiogram (ECG) signals have been widely used to diagnose heart arrhythmias. In order to detect these arrhythmias using ECG signals, many machine learning methods have been presented.
Subasi, Abdulhamit +3 more
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Sensors, 2021 Motor learning is associated with functional brain plasticity, involving specific functional connectivity changes in the neural networks. However, the degree of learning new motor skills varies among individuals, which is mainly due to the between ...
Daniel Guillermo García-Murillo +2 more
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Recognition of signal sequences
FEBS Letters, 1983 The hypothesis assumes that every continuous, entirely hydrophobic sequence of sufficient length, which is not involved in strong intramolecular contacts with other parts of the nascent protein chain, will function as a signal for translocation across the endoplasmic reticulum membrane or across the inner bacterial membrane.
Finkelstein, Alexei V. +2 more
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Post-Translational Membrane Protein Targeting by the Chloroplast Signal Recognition Particle [PDF]
, 2011 Post-translational transport of membrane proteins poses enormous challenges to the cells. The transport factors must accurately select and deliver the cargos to the appropriate target membranes.
Jaru-Ampornpan, Peera
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Interactions of signal peptides with signal-recognition particle [PDF]
Biochemical Journal, 1990 The mechanisms whereby isolated or synthetic signal peptides inhibit processing of newly synthesized prolactin in microsome-supplemented lysates from reticulocytes and wheat-germ were investigated. At a concentration of 5 microM, a consensus signal peptide reverses the elongation arrest imposed by the signal-recognition particle (SRP), and at higher ...
A, Robinson, O M, Westwood, B M, Austen
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