Decryption of genome-encoded cryptographic keys using DNAcrypt-AI v1

DNAcrypt-AI is a human genome-based cryptographic framework that leverages k-mer-based alphanumeric encoding, genome vocabulary, sequence reconstruction, and sequence-informed machine learning to enable controlled decryption of encrypted digital credentials. This protocol describes the procedure for decrypting an encrypted secret key generated using DNAcrypt-AI, restoring the original fixed-length plaintext key from its genome metadata representation. The decryption workflow is implemented on Google Colab and integrates a high-throughput DNA sequence reconstitution pipeline (FAS2rDNA) with a sequence intelligence model (Covary) to reconstruct the encrypted genome coordinates into a human-readable secret key. The protocol successfully recovered the expected 16-character secret key, demonstrating reproducible reversibility of the DNAcrypt-AI encryption-decryption cycle for research and educational use.