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The first table—the standard table—can be used to translate nucleotide triplets into the corresponding amino acid or appropriate signal if it is a start or stop codon. The second table, appropriately called the inverse, does the opposite: it can be used to deduce a possible triplet code if the amino acid is known.
He postulated that sets of three bases (triplets) must be employed to encode the 20 standard amino acids used by living cells to build proteins, which would allow a maximum of 4 3 = 64 amino acids. [4] He named this DNA–protein interaction (the original genetic code) as the "diamond code". [5]
Three translation tables have a peculiar status: Table 7 is now merged into translation table 4. Table 8 is merged to table 1; all plant chloroplast differences due to RNA edit.
This RNA copy is then decoded by a ribosome that reads the RNA sequence by base-pairing the messenger RNA to transfer RNA, which carries amino acids. Since there are 4 bases in 3-letter combinations, there are 64 possible codons (4 3 combinations). These encode the twenty standard amino acids, giving most amino acids more than one possible ...
The sequence of nucleobases on a nucleic acid strand is translated by cell machinery into a sequence of amino acids making up a protein strand. Each group of three bases, called a codon, corresponds to a single amino acid, and there is a specific genetic code by which each possible combination of three bases corresponds to a specific amino acid.
Amino acids are organic compounds that contain both amino and carboxylic acid functional groups. [1] ... (Sec, U) is a rare amino acid not directly encoded by DNA, ...
This table is found in both DNA Codon Table and Genetic Code (And probably a few other places), so I'm pulling it out so it can be common. By default it's the DNA code (using the letter T for Thymine); use template parameter "T=U" to make it the RNA code (using U for Uracil). See also Template:Inverse codon table
The existing specialized amino acid sequence compressors are low compared with that of DNA sequence compressors, mainly because of the characteristics of the data. For example, modeling inversions is harder because of the reverse information loss (from amino acids to DNA sequence).