HyperScore-Driven Optimized Nucleotide Sequence Design for Targeted CRISPR-Cas9 Activity: A Constraint Satisfaction Optimization Approach
Year: 2025
Type: article
Abstract: **Abstract:** The design of highly specific and efficient guide RNAs (gRNAs) for CRISPR-Cas9 systems remains a critical bottleneck in genome editing. This paper introduces a novel hybrid scoring system, HyperScore, integrating logical consistency, novelty, impact forecasting, reproducibility, and meta-evaluation, to optimize nucleotide sequence design for targeted CRISPR-Cas9 activity. Beyond simple target specificity, the framework incorporates predicted off-target effects, chromatin accessibility, and RNA stability to maximize on-target efficacy while minimizing undesirable side effects. The commercial potential lies in accelerated development of gene therapies and precise genome engineering tools for agricultural and industrial applications, shrinking design cycles from months to days and boosting gene editing success rates by an estimated 20-30%. --- *This document is a part of the Freederia Research Archive. Explore our complete collection of advanced research at [en.freederia.com](https://en.freederia.com), or visit our main portal at [freederia.com](https://freederia.com) to learn more about our mission and other initiatives.*
Source: Figshare
Authors: KYUNGJUN, LIM, Researcher, Freederia AI
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7142676216
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