CRISPR

Prime-editing efficiency (PRIDICT2.0)

Predict per-pegRNA prime-editing efficiency for one edit with PRIDICT2.0, and return the top-scoring pegRNA designs ranked by it. Takes the target as context, the edit in brackets, then context — ACGT...(A/G)...ACGT, with roughly 100+ bp each side — and enumerates PBS/RTT length combinations, scoring every one in HEK293 and K562. Each candidate comes back with both scores, its percentile against the training library, its rank, the spacer, PBS and RTT lengths, the full pegRNA, and Golden Gate cloning oligos. Use it to CHOOSE between designs; the number is not a promised editing percentage.

post/prime_editing_efficiency

Request

  • Base URL: https://seqbench.com/api/v1
  • URL: https://seqbench.com/api/v1/prime_editing_efficiency
  • Auth: none required

Request body

sequencestring required

Target with the edit in brackets: context, then (original/edited), then context. Roughly 100+ bp each side — the model reads that context. Keep unchanged flanking bases OUTSIDE the brackets: T(a/g)C, not (TAC/TGC). Insertions and deletions leave one side empty, e.g. (/AGG) or (AGG/).

cellType'HEK' | 'K562'

Which trained context to RANK by. Both scores are always returned; this decides the ordering. There is no generic-mammalian option because the model has no such training data.

topNinteger

How many top-ranked pegRNAs to return, out of the hundreds enumerated. Max 50.

use5Foldsboolean

Average all five trained folds instead of the first. Modestly steadier scores for five times the compute, and it is charged five times as much.

Response

Tool ran successfully.

okunknown required
toolstring required

The tool slug that ran.

resultobject required

Tool-specific output object. Its shape depends on the tool — call GET /{tool} or see the docs for each tool's fields.

Example response

{
  "provenance": {
    "apiVersion": "1.1.0"
  }
}

Changes

No recorded changes to this operation across all 1 revision of this API.