Use SPRINT

Official Neurosnap webserver for accessing SPRINT online.

Overview

SPRINT is a vector-based deep learning framework designed to accelerate drug discovery by enabling massive-scale virtual screening of drug-target interactions (DTIs). It utilizes structure-aware protein language models and a self-attention architecture to learn a co-embedding space for both small molecules and protein targets. This approach allows for extremely fast and accurate prediction of interactions, capable of screening thousands of molecules in minutes. SPRINT achieves state-of-the-art results on virtual screening and DTI classification benchmarks, making it a powerful tool for identifying new drug candidates and predicting off-target effects.

Neurosnap Overview

The SPRINT online webserver allows anybody with a Neurosnap account to run and access SPRINT, 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.

Features

  • Ultra-fast virtual screening enabling pan-proteome-scale DTI predictions.
  • Achieves state-of-the-art performance on DTI classification, virtual screening, and binding affinity benchmarks.
  • Employs structure-aware protein language models and a multi-head attention pooling scheme for improved accuracy.

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 SPRINT 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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