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How AI Uses DNA to Find New Medicines

1Why DNA Matters for Finding Medicines2Turning DNA Into Data a Computer Can Read3How AI Learns Patterns in DNA4From DNA Patterns to Disease Clues5From Target to Candidate Medicine6What AI Can and Cannot Do Here
Turning DNA Into Data a Computer Can Read

Reading DNA and Writing It Down

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Sequencing does not photograph the DNA molecule. It reads the order of the letters and writes that order down. Since there are only four letters, each one fits into a tiny piece of digital code — two bits is enough, because two bits give four possible patterns. So a strand of DNA ends up as a plain string of characters, and once it is a string, a computer can count letters, search for short patterns, and compare one sequence with another.
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DNA sequencing is the process of determining the order of the letters along a piece of DNA. The molecule itself is a physical object, but the result of sequencing is not a molecule — it is a written record of letters, something like "A T G C C A T G ..." continuing for as long as the piece being read.

Because there are only four letters — A, T, G, and C — the record is easy to store digitally. Each letter can simply be kept as a character in a text file, or encoded as a short pattern of bits. The mapping is arbitrary but consistent: for example, A could be 00, T could be 01, G could be 10, and C could be 11. Two bits are enough for four possibilities, so every letter of DNA costs only two bits of storage. The important point is not which code is chosen, but that a molecule has become a string of symbols a computer can copy, search, and compare.

Once DNA is a string, ordinary computing applies to it. A computer can count how often a letter appears, find a short pattern inside a long sequence, or line up two sequences side by side. None of that requires understanding biology; it requires only that the biological information has been turned into characters.

References

  1. [1]National Human Genome Research Institute — DNA Sequencing Fact Sheetgenome.gov
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