Use ScanNet Protein Binding Site Prediction

Official Neurosnap webserver for accessing ScanNet Protein Binding Site Prediction online.

Drug Design Protein Annotation Antibodies

Overview

A deep learning model for predicting protein-protein and protein-antibody binding sites using the spatio-chemical arrangements of atom and residue neighbors.

Neurosnap Overview

The ScanNet Protein Binding Site Prediction online webserver allows anybody with a Neurosnap account to run and access ScanNet Protein Binding Site 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 service and privacy policy.

View Paper

Features

  • Predict probabilities of functional sites.
  • Uses 3-dimensional protein structures to detect protein-protein and protein-antibody binding sites.
  • Displays a sequential view of residue-level binding site probabilities and an exportable chart of the probabilities.

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.

Statistic Value
Credit Usage Rate loading...
Estimated Total Cost loading...
Runtime Mean loading...
Runtime Median loading...
Runtime Standard Deviation loading...
Runtime 90th Percentile loading...
Runtime Longest loading...

API Request

Access ScanNet Protein Binding Site 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.

Video Tutorial

The following youtube video describes how to use ScanNet Protein Binding Site Prediction using Neurosnap's online webserver. If you have any questions or want to suggest improvements for future tutorials please contact us here.

Job Note

Provide a name or description for your job to help you organize and track its results. This input is solely for organizational purposes and does not impact the outcome of the job.

Configuration & Options

Service Inputs

A PDB file containing the structure to predict binding site probabilities.

The following options are the available binding sites the tool can predict.

The Chain ID(s) of the chain(s) you want to to predict binding probabilities for. Leave this blank if you want to predict binding site probabilities for all chains.

By default, all the chains are processed independently from one another. Check this option if you want the model to process all chains simultaneously.

Ready to submit your job?

Once you're done just hit the submit button below and let us do the rest.

To submit a job please login or register an account.