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Existing methods for the scaling of membrane localization propensity use algorithms such as hidden Markov models (HMMs) and supported vector machines (SVMs) to recognize protein sequences that have the potential to sub-localize within the membrane [43].
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A metric is introduced to assess the propensity for localization and is correlated to the grain-level Schmid factor.
Our data characterized the Cav1.2 as having a high propensity for localization within the plasma membrane together with other willing channels, which supports the hypothesis that the Cav1.2 is an anchor for the membrane proteins in its close proximity.
However, for Cav1.2 channel homologous proteins, in addition to prokaryotes, Fishes and to a less degree Mammalia show higher propensities toward localization in the membrane.
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This paper develops a finite element-based model with quantized crystal plasticity (QCP) to study distinctive features of nanocrystalline (nc) metal behavior, including an enhanced flow stress, extended plastic transition strain and propensity for strain localization.
Taking into account the steps for the folding pathway of α-helical membrane proteins and relating biophysical parameters to each of these steps, we create a score capable of predicting the propensity for membrane localization and call it FP3mem.
FP3mem allows us to rationalize the colocalization of a number of channel proteins with the Cav1.2 channel by their fewer propensities for membrane localization.
The abovementioned databases and methods provide information about whether a protein localizes within the plasma membrane, but cannot resolve the membrane association (the propensities for membrane localization) of two transmembrane proteins.
An investigation has been made into the effect of microstructural parameters on the propensity for forming shear localization produced during high speed torsional testing by split Hopkinson bar with different average rates of 610, 650 and 1500 s−1 in low carbon steels.
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