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The activators are proteins that bind to specific DNA sequences in the enhancer region. These activators also bind to the RNA polymerase and other associated members of the transcription complex, which makes it more likely for an RNA polymerase to hang around the promoter sequence of the region it enhances. This in turn increases the chance of the gene ...


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@Thymine's answer is correct. I just thought I'd post a more graphic answer for clarity. <==(RNA Pol)3'------------------------- 5' 5' ------------------------------------------------------ 3' 3' ------------------------------------------------------ 5' The RNA Polymerase is synthesizing on the 3' to 5' strand, but nucleic acids are ...


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They're both correct. The confusion stems from the book talking about the anticoding strand as well as the newly-formed coding RNA strand, whereas Khan Academy talks only about the coding strand. From the book: The anticoding strand is transcribed from 3' to 5'. Therefore the coding strand is produced from 5' to 3', meaning the very first nucleotide ...


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The answer is simple : promoter the promoter is a non-coding sequence of DNA found on one strand of the DNA when reading from (5'->3') which is to be the template strand . For example the (TATA) box is found in prokaryotic cells DNA (also named prinbow) and in eukaryotic cells DNA .In eukaryotes, It has the following sequence (5'...TATAAA....3') and is ...


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Given a DNA sequence alone, you can annotate open reading frames (ORFs) in order to identify the coding strand, with the caveat that not all ORFs are genes. ORFs are sequence segments that begin with a start codon (ATG) and end with a stop codon (TAA, TAG, TGA) when read from 5' to 3' in 3-base codons. There are no start or stop codons in either strand of ...


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I don't know about your specific example (perhaps look for triplets that code start codons?), but machine learning has been used to predict promoters from sequence information (from promoter regions, you get downstream initiation of transcription of DNA to RNA). You would probably need more sequence to predict a promoter with more certainty. Cites: https://...


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