PrEditR: A protein-centric platform for CRISPR-mediated base editor sgRNA design

Clicks: 5
ID: 338059
2026
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #168 of 172 articles by views in Bioinformatics advances

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 172 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Abstract Motivation Post-translational modifications (PTMs) are critical to protein activity, yet the biological role of most known modification sites remains uncharacterized. CRISPR-mediated phenotypic screens using base editors offer a powerful approach to dissecting PTM function at scale. However, existing sgRNA design tools for base editing applications are DNA-centric and lack the throughput required to integrate seamlessly with mass-spectrometry-based proteomics experimental outputs. Results We introduce protein editing in R, PrEditR, an open-source, protein-centric tool for high-throughput sgRNA design for custom base editor screens. PrEditR enables users to designate specific amino acid residues in proteins and design protospacer sequences that target the corresponding gene and annotate every resulting amino acid change (missense, nonsense, or silent), including bystander edits. Availability and Implementation PrEditR is available on GitHub and Docker Hub.
Reference Key
openalex_W7224878631 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Felipe Vásquez-Castro, Leonardo D. Sanchez Solis, Samuel A. Myers
Are you one of these authors? Claim your profile
Journal Bioinformatics advances
Year 2026
DOI
10.1093/bioadv/vbag323
URL
https://academic.oup.com/bioinformaticsadvances/advance-article-pdf/doi/10.1093/bioadv/vbag323/72616473/vbag323.pdf
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.