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NARDINI+ GIN IDR Grammar Analysis

Analyze IDR molecular grammar features and GIN clusters from human IDs or custom IDR sequences.

Overview

NARDINI+ GIN IDR Grammar Analysis scores intrinsically disordered regions using the published Grammars Inferred using NARDINI framework. It can either look up published human IDRome GIN annotations from gene symbols or UniProt accessions, or calculate de novo NARDINI+ feature vectors for submitted IDR FASTA sequences and assign the nearest human GIN cluster.

Run NARDINI+ GIN IDR Grammar Analysis on Neurosnap

The NARDINI+ GIN IDR Grammar Analysis online webserver allows anybody with a Neurosnap account to run and access NARDINI+ GIN IDR Grammar Analysis, no downloads required. Information submitted through this webserver is kept confidential and never sold to third parties as detailed by our strong Terms of Use and Privacy Policy.

NARDINI+ GIN IDR Grammar Analysis service preview

Features

  • Looks up published GIN cluster annotations for human genes, UniProt accessions, and accession-plus-IDR identifiers.
  • Calculates de novo NARDINI+ patterning and compositional z-score vectors for custom IDR sequences.
  • Assigns submitted IDRs to the nearest published human GIN grammar cluster for comparative analysis.
  • Returns compact summary tables, full 90-feature z-score vectors, and strongest grammar features per IDR.

Statistics

Neurosnap periodically calculates runtime statistics based on job execution data. These estimates provide a general guideline for how long your job may take, but actual runtimes can vary significantly depending on factors like input size or settings used.

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API Request

Access NARDINI+ GIN IDR Grammar Analysis using the Neurosnap API by sending a request using any programming language with HTTP support. To safely generate an API key, visit the API tab of your overview page.

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Citations

Please cite the original work when using NARDINI+ GIN IDR Grammar Analysis in publications or research outputs.

Ruff KM, King MR, Ying AW, Liu V, Pant A, Lieberman WE, Shinn MK, Su X, Kadoch C, Pappu RV. Molecular grammars of predicted intrinsically disordered regions that span the human proteome. Cell. 2025. https://www.cell.com/cell/fulltext/S0092-8674(25)01191-2

Neurosnap Inc. (2022). Neurosnap: An online platform for computational biology and chemistry. Available at: https://neurosnap.ai/

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