Probability of Change in Life: amino acid changes in single nucleotide substitutions

Mutations underpin the processes in life, be it beneficial or detrimental. While mutations are assumed to be random in the bereft of selection pressures, the genetic code has underlying computable probabilities in amino acid phenotypic changes. With a wide range of applications including drug resistance, understanding amino acid changes is important. In this study, we calculated the probabilities of substitutions mutations in the genetic code leading to the 20 amino acids and stop codons. Our calculations reveal an enigmatic in-built self-preserving organization of the genetic code that averts disruptive changes at the amino acid level. These changes include changes to start, aromatic, polar, negative charged amino acids and stop codons. Our findings thus reveal a statistical mechanism governing the relationship between amino acids and the universal genetic code.

• Publication year

  2019

• Venue

  bioRxiv

• Publication date

  2019-08-13

• Fields of study

  Biology, Medicine, Computer Science

• Identifiers
  DOI 10.1101/729756PMID 32259562
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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