25. At the transcription start site of a gene, any of the four nucleotides can occur with equal probability p. The Shannon Entropy S, given by S = −Σi=14 pi ln pi, for this start site is ___________. Given data: ln(2) = 0.69

25. At the transcription start site of a gene, any of the four nucleotides can occur with equal probability p. The Shannon Entropy S, given by S = −Σi=14 pi ln pi, for this start site is ___________.

Given data: ln(2) = 0.69

Shannon Entropy Calculation at Transcription Start Site with Equal Nucleotide Probability

Shannon entropy quantifies uncertainty at a gene’s transcription start site when each of the four nucleotides (A, T, G, C) appears with equal probability. The calculated value is 1.386, representing maximum nucleotide variability.

Formula Breakdown

The Shannon entropy formula is:

S = −∑(pi ln pi)

For four equally likely nucleotides:

p = p₁ = p₂ = p₃ = p₄ = 1/4 = 0.25

Substituting gives:

S = −4 × (0.25 ln 0.25)

Step-by-Step Calculation

ln(0.25) can be rewritten using exponent rules:

0.25 = 2−2 → ln(0.25) = ln(2−2) = −2 ln 2

Given ln(2) = 0.69:

ln(0.25) = −2 × 0.69 = −1.38

Now compute one term:

0.25 × (−1.38) = −0.345

Multiply by 4:

S = −4 × (−0.345) = 1.386

Why Equal Probability Maximizes Entropy

Entropy is highest when all outcomes are equally likely because uncertainty is maximal.

Scenario Probabilities Entropy
Equal [0.25, 0.25, 0.25, 0.25] 1.386
Biased [0.7, 0.1, 0.1, 0.1] < 1.0

Biological Relevance

In genomic regions such as promoters:

  • High Shannon entropy → flexible transcription initiation (housekeeping genes)
  • Low entropy → stronger consensus sites (tissue-specific genes)

Understanding entropy is valuable for bioinformatics, promoter analysis, and GATE Biotechnology preparation.

Final Result

Shannon entropy S = 1.386 (using ln values rounded appropriately)

 

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