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Eukaryotic Initiation Factor 2 (eIF2) is an eukaryotic initiation factor.It is required for most forms of eukaryotic translation initiation. eIF2 mediates the binding of tRNA i Met to the ribosome in a GTP-dependent manner. eIF2 is a heterotrimer consisting of an alpha (also called subunit 1, EIF2S1), a beta (subunit 2, EIF2S2), and a gamma (subunit 3, EIF2S3) subunit.
13629 Ensembl ENSG00000167658 ENSMUSG00000034994 UniProt P13639 P58252 RefSeq (mRNA) NM_001961 NM_007907 RefSeq (protein) NP_001952 NP_031933 Location (UCSC) Chr 19: 3.98 – 3.99 Mb Chr 10: 81.01 – 81.02 Mb PubMed search Wikidata View/Edit Human View/Edit Mouse Eukaryotic elongation factor 2 is a protein that in humans is encoded by the EEF2 gene. It is the archaeal and eukaryotic ...
The steps in this microcycle are (1) positioning the correct aminoacyl-tRNA in the A site of the ribosome, which is brought into that site by eEF1, (2) forming the peptide bond, and (3) shifting the mRNA by one codon relative to the ribosome with the help of eEF2. Unlike bacteria, in which translation initiation occurs as soon as the 5' end of ...
Example-based machine translation (EBMT) is a method of machine translation often characterized by its use of a bilingual corpus with parallel texts as its main knowledge base at run-time. It is essentially a translation by analogy and can be viewed as an implementation of a case-based reasoning approach to machine learning .
EF-G catalyzes the translocation of the tRNA and mRNA down the ribosome at the end of each round of polypeptide elongation. [1] In this process, the peptidyl transferase center (PTC) has catalyzed the formation of a peptide bond between amino acids, moving the polypeptide chain from the P site tRNA to the A site tRNA.
Elongation is the most rapid step in translation. [3] In bacteria, it proceeds at a rate of 15 to 20 amino acids added per second (about 45-60 nucleotides per second). [citation needed] In eukaryotes the rate is about two amino acids per second (about 6 nucleotides read per second).
GNMT improved on the quality of translation by applying an example-based (EBMT) machine translation method in which the system learns from millions of examples of language translation. [2] GNMT's proposed architecture of system learning was first tested on over a hundred languages supported by Google Translate. [2]
Literal translation, direct translation, or word-for-word translation is the translation of a text done by translating each word separately without analysing how the words are used together in a phrase or sentence. [1] In translation theory, another term for literal translation is metaphrase (as opposed to paraphrase for an analogous translation).