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CRISPIR sgRNA Designer

面向病毒与微生物（含 65-80% 高 GC 模板）的 CRISPR/Cas9 sgRNA 设计技能：扫描 NGG PAM、按 Rule Set 2 风格打分、分析切割位点相对 ATG/终止密码子/外显子连接的位置、检查 12bp 种子区唯一性，并给出供体模板同义突变建议；参考序列经 NCBI E-utils 获取，输出带 0-100 评分与实验建议的排序列表。

zjuphd
zjuphd
热度 82.05
最近更新 2026-05-11 17:30:57
分类：数据依赖：第三方 API / 代码执行应用场景：研究 / 数据处理

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add crispr-sgrna-designer
Metadata
name
crispr-sgrna-designer
description
Professional-grade CRISPR sgRNA design for viral and microbial genomes, with specialized logic for extreme-GC templates (e.g., Herpesviruses). Use when needing to design high-efficiency, low-off-target sgRNAs for (1) Gene knockouts, (2) Site-specific insertions/tagging, or (3) Precise genome editing. Includes PAM scanning, position-weight scoring (Rule Set 2 style), and synonymous mutation strategy for donor template design. Designed by ZJU PhD @ Bio-chat.

CRISPR sgRNA Designer (Bio-chat Series)

This skill provides a rigorous workflow for designing and scoring CRISPR/Cas9 sgRNAs, specifically optimized for high-GC viral genomes where standard tools often struggle.

Key Capabilities

  1. Precision PAM Scanning: Automated scanning of target regions for SpCas9 (NGG) and alternative PAMs.
  2. GC-Weighted Scoring: Specialized weighting for high-GC templates (65-80% GC) to ensure thermodynamic stability of the R-loop.
  3. Positional Analysis: Calculates cut sites relative to functional features (ATG start codons, stop codons, or exon junctions).
  4. Off-target Defense: Rapid genomic indexing to ensure seed-region (12bp) uniqueness in small viral/microbial genomes.
  5. Donor Template Strategy: Automatically suggests synonymous mutations to prevent re-cutting of integrated donor sequences.

Workflow

  1. Target Identification: Provide a genomic region or gene name (e.g., PRV UL15 N-terminus).
  2. Sequence Extraction: Automatically pulls the latest reference sequences via NCBI E-utils.
  3. sgRNA Generation: Runs a sliding window scan for NGG PAMs within the target window.
  4. On-target Scoring:
    • Position Weighting: Rewards specific nucleotides in the seed region.
    • GC Penalty/Reward: Optimizes for the high-GC context of viruses like PRV.
  5. Result Ranking: Provides a ranked list of sgRNAs with comprehensive scoring (0-100) and experimental recommendations.

Technical Standards

  • Scoring Model: Modified Rule Set 2 logic adapted for extreme sequence contexts.
  • Seed Region: Strict 12bp specificity check.
  • PAM Requirement: 5'-NGG-3' (Standard SpCas9).

Designed by ZJU PhD @ Bio-chat Community