IUPred3

Intrinsically unstructured protein region predictor. Predicts disordered regions from amino acid sequence. Essential for identifying flexible/unstructured domains.

What It Does

• Predicts intrinsic disorder from protein sequence
• Score 0-1 per residue: >0.5 = disordered
• Long and short disorder modes
• ANCHOR2 binding site prediction within disordered regions

How to Use

Web

1. Go to https://iupred3.elte.hu
2. Paste protein sequence
3. Select “Long disorder” mode
4. View per-residue disorder plot

API

curl "https://iupred3.elte.hu/plot_json/Q7RTU9" > iupred3_strc.json

Python

import requests
r = requests.get("https://iupred3.elte.hu/plot_json/Q7RTU9")
data = r.json()
# data contains per-residue disorder scores

Verified Status

VERIFIED — used for STRC mini-STRC truncation boundary validation. Key results:

• Res 691: IUPred3 0.819 (disordered) — matches AF3 pLDDT 31.2
• Res 700: IUPred3 0.263 (ordered) — matches AF3 pLDDT 57.1 (recovery point)
• Res 1659: IUPred3 ~0.05 (strongly ordered) — variant is in a well-structured region
• N-terminal (1-700) shows multiple disorder peaks
• C-terminal (700-1775, mini-STRC region) almost entirely ordered

STRC Research Usage

• STRC ESMFold Disorder Validation — cross-validated with ESMFold and AlphaFold
• STRC pLDDT Profile and Cut Point Analysis — validated truncation boundary at ~700
• STRC Mini-STRC Single-Vector Hypothesis — confirmed safe cut points

Connections

• ESMFold [see-also] — complementary disorder validation
• AlphaFold Database [see-also] — pLDDT also indicates disorder
• STRC pLDDT Profile and Cut Point Analysis [used-in]