Search results
Results from the WOW.Com Content Network
Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.
The unfolded protein response (UPR) is a cellular stress response related to the endoplasmic reticulum (ER) stress. [1] It has been found to be conserved between mammalian species, [2] as well as yeast [1] [3] and worm organisms. The UPR is activated in response to an accumulation of unfolded or misfolded proteins in the lumen of the
The translocon (also known as a translocator or translocation channel) is a complex of proteins associated with the translocation of polypeptides across membranes. [1] In eukaryotes the term translocon most commonly refers to the complex that transports nascent polypeptides with a targeting signal sequence into the interior (cisternal or lumenal) space of the endoplasmic reticulum (ER) from ...
An entity–relationship model (or ER model) describes interrelated things of interest in a specific domain of knowledge. A basic ER model is composed of entity types (which classify the things of interest) and specifies relationships that can exist between entities (instances of those entity types).
HIV uses an efficient mechanism to dislocate a single-membrane-spanning host protein, CD4, from the ER and submits it to ERAD. The Vpu protein of HIV-1 is a protein on the ER membrane and targets newly made CD4 in the endoplasmic reticulum for degradation by cytosolic proteasomes. [3] Vpu only utilizes part of the ERAD process to degrade CD4.
ER retention refers to proteins that are retained in the endoplasmic reticulum, or ER, after folding; these are known as ER resident proteins. Protein localization to the ER often depends on certain sequences of amino acids located at the N terminus or C terminus. These sequences are known as signal peptides, molecular signatures, or sorting ...
Three levels of view are defined in IDEF1X: entity relationship (ER), key-based (KB), and fully attributed (FA). They differ in level of abstraction. The ER level is the most abstract. It models the most fundamental elements of the subject area - the entities and their relationships. It is usually broader in scope than the other levels.
This file contains additional information, probably added from the digital camera or scanner used to create or digitize it. If the file has been modified from its original state, some details may not fully reflect the modified file.