🧬 LLPSense — Condition-Dependent LLPS Prediction

LLPSense predicts whether a protein undergoes liquid-liquid phase separation (LLPS) under user-defined environmental conditions.

Bae†, Kang†, et al. "A machine learning framework for predicting and modulating condition-dependent protein phase separation." bioRxiv 2025.

Workflow

  1. Paste your sequence in the text box below.
  2. Click Extract Feature to compute the ProtT5-XL embedding.
  3. Use Predict LLPS Probability to query a specific condition point, or Condition Screening to sweep one condition across its full range.

Step 1 — Enter Protein Sequence

Step 2 — Extract ProtT5 Feature

Runs the ProtT5-XL encoder to produce a 1024-dim mean-pool embedding.
⏳ First call loads the model onto the GPU and may take a moment.

Step 3 — Run Demo

Predict LLPS probability for a specific condition, or sweep one condition across its full range.

Set the environmental conditions with the sliders below, then click Predict to obtain the LLPS probability.

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Authors: Jangwon Bae†, Minjun Kang†, Donghyuk Lee, Kuk-Jin Yoon*, Yongwon Jung* Paper: bioRxiv 2025.12.28.696755 GitHub: NearNiah/LLPSense