Randomized Genetic Sequence Planning for Robust Trait Editing

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Solution Overview

Problem

Current genetic editing techniques, such as CRISPR, face high failure rates due to the complexity of genetic systems and external environments, leading to unintended consequences and resource wastage, especially when precise edits fail to achieve desired traits in organisms.

Innovation Solution

A rule-based randomized genetic editing system that applies randomization techniques to genetic structures, considering ecosystem rules and historical results to minimize resource consumption and enhance the likelihood of achieving desired genetic outcomes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If precise genetic editing is performed at specific locations, then manufacturing precision is improved, but reliability deteriorates due to high failure rates and unintended consequences

Engineering Contradiction:
Improveprecision of genetic editsVSAvoidsuccess rate of achieving desired traits
Core Design Contradiction:
Manufacturing precisionVSReliability

Solution Approach 1:

The patent introduces dynamic adaptability into genetic editing by enabling organisms to randomly generate and express alternative genetic sequences when primary edited sequences fail to produce desired traits. This dynamic response mechanism allows the system to adapt to unexpected outcomes, transforming static precise editing into a flexible, self-correcting process that improves reliability without sacrificing precision.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent applies preliminary action by pre-introducing multiple alternative genetic sequences alongside the primary edited sequence before the organism expresses its traits. These backup sequences are prepared in advance and can be activated if the primary edit fails, preventing complete failure and ensuring the organism can still achieve desired characteristics despite editing uncertainties.

Inventive Principle:
Principle #10Preliminary action

2Reliability

If multiple genetic editing attempts are performed to achieve desired traits, then reliability is improved, but loss of time and resources increases

Engineering Contradiction:
Improveachievement of desired traitsVSAvoidtime expenditure for multiple editing attempts
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent performs multiple genetic editing attempts in advance by introducing several alternative sequences simultaneously during a single editing process. Rather than conducting sequential editing attempts that consume time across multiple generations, all alternative sequences are prepared beforehand and can be expressed if needed, dramatically reducing the time and resource loss associated with repeated editing attempts.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent creates multiple copies of alternative genetic sequences that can serve as backups. These copied sequences are introduced alongside the primary edit, allowing the organism to have pre-prepared alternatives without requiring time-consuming re-editing. This copying strategy enables rapid failure recovery while minimizing time and resource expenditure.

Inventive Principle:
Principle #26Copying

3Manufacturing precision

If comprehensive genetic analysis is conducted to understand all genetic content, then manufacturing precision is improved, but device complexity and resource consumption increase

Engineering Contradiction:
Improveunderstanding of genetic contentVSAvoidcomplexity of genetic analysis system
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent extracts only the essential genetic information needed for trait expression rather than requiring complete analysis of all genetic content. By focusing on specific functional sequences and their alternatives, the system achieves sufficient precision for genetic editing without the overwhelming complexity and resource consumption of comprehensive genome analysis. This selective extraction approach makes the system practically implementable.

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentUS20260066053A1System and method for improved genetic modifications to support beneficial adaptation to unanticipated conditions and unintended consequences by utilizing randomization
Publication Date: 2026.03.05 MCDEVITT JOHN
  • US20260066053A1 patent drawing
  • US20260066053A1 patent drawing
  • US20260066053A1 patent drawing

AI summary

A system and method that provides a rule-based process utilizing a managed randomization procedure for the purpose of improved genetic modification. The system includes a database that stores specific genetic sequences. Additionally, included is a genetic sequence rules engine that generates a sequence of approved genetic content based on genetic characteristics rules and a predictive rules engine that produces genetic sequence content selection characteristics based on biologic goal(s). A randomization engine is applied to the planned genetic sequence to build a set of alternate genetic sequences. Furthermore, by applying the generated genetic characteristics rules to the list of approved genetic elements to select genetic edits, such that the targeted genetic characteristics are optimized, and negative characteristics are minimized in accordance with the goal(s) of the process. This process may occur in a computer test environment, a controlled laboratory environment, and/or the natural environment.