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Prot2Prop Protein Property Prediction

Predict multiple protein developability properties from sequence in one batch workflow.

Overview

Prot2Prop predicts a panel of developability-related protein properties from amino-acid sequence in one multitask run, including aggregation propensity, expression yield, folding stability, solubility, material production, and temperature stability.

Run Prot2Prop Protein Property Prediction on Neurosnap

The Prot2Prop Protein Property Prediction online webserver allows anybody with a Neurosnap account to run and access Prot2Prop Protein Property Prediction, 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.

Prot2Prop Protein Property Prediction service preview

Features

  • Scores six developability-oriented properties in one inference pass instead of requiring separate single-task tools.
  • Supports high-throughput batch submission of up to 1000 protein sequences per run.
  • Returns both continuous regression outputs and binary classification probabilities for easy candidate triage.
  • Uses a ProstT5-based multitask adapter architecture to share signal across correlated protein properties.

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 Prot2Prop Protein Property Prediction 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 Prot2Prop Protein Property Prediction in publications or research outputs.

Amani, K. Prot2Prop: structure-aware fine-tuning of protein language models for joint prediction of multiple developability properties from protein inputs. bioRxiv (2026). https://www.biorxiv.org/content/10.64898/2026.06.28.735009v1

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

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Inputs & configuration

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