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IFACE Surface Comparison

Compare two protein structures through their geometric and chemical surfaces.

Overview

Generates molecular surfaces from two protein structures and compares them with IFACE, jointly measuring intrinsic geometry, curvature, electrostatics, hydrogen-bonding propensity, and hydrophobicity while producing an interpretable soft vertex correspondence.

Run IFACE Surface Comparison on Neurosnap

The IFACE Surface Comparison online webserver allows anybody with a Neurosnap account to run and access IFACE Surface Comparison, 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.

IFACE Surface Comparison service preview

Features

  • Generates molecular surfaces and physicochemical fields directly from uploaded protein structures.
  • Computes the IFACE joint geometric-chemical distance between the generated surfaces.
  • Reports separate geometry, chemical, and per-feature distance components.
  • Produces a soft vertex-to-vertex correspondence matrix and the two strongest query matches for each reference vertex.
  • Uses the documented approximately 1,000-vertex rapid-screening resolution.

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 IFACE Surface Comparison 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 IFACE Surface Comparison in publications or research outputs.

Swami H, McBride JM, Eckmann JP, Tlusty T. Joint Geometric-Chemical Distance for Protein Surfaces. arXiv:2603.09860. 2026.

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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