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Updated: Apr 10, 2026

DNA-Tethered RNA Polymerase for Programmable In vitro Transcription and Molecular Computation

DNA-Tethered RNA Polymerase for Programmable In vitro Transcription and Molecular Computation

Published on: December 29, 2021

Text encryption through bio-inspired DNA and RNA sequencing.

Omar Fitian Rashid¹, Safa Ahmed Abdulsahib², Humam Al-Shahwani²

¹Department of Geology, College of Science, University of Baghdad, Baghdad, Iraq.

|April 8, 2026

Summary

This summary is machine-generated.

This study introduces a novel bio-inspired cryptography method using DNA and RNA for secure text messaging. The approach enhances security through biological randomness and efficient encryption/decryption processes.

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Area of Science:

Biotechnology
Computer Science
Cryptography

Background:

Traditional cryptography relies on mathematical structures vulnerable to pattern recognition.
Existing methods lack the inherent biological randomness found in natural systems.
There is a need for novel cryptographic approaches inspired by biological processes.

Purpose of the Study:

To develop a bio-inspired cryptography system for text message protection.
To leverage DNA and RNA coding mechanisms for enhanced security.
To introduce biological randomness into the encryption process.

Main Methods:

Encoding plaintext messages into DNA sequences.
Utilizing DNA to RNA transcription and complementary base pairing.
Implementing RNA segment scrambling and optional reverse transcription for randomization.
Encoding DNA-RNA characters into ciphertext.

Main Results:

The bio-inspired cryptography method proved efficient for various message sizes.
Encryption and decryption times were significantly improved.
The system successfully incorporated biological randomness, making each encryption unique.

Conclusions:

This bio-inspired approach offers a new paradigm for secure cryptographic systems.
It presents opportunities for developing advanced digital communication security.
The method enhances security by moving beyond traditional mathematical structures.