Related Experiment Video
Updated: Jun 13, 2025
A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
AlphaCRV: a pipeline for identifying accurate binder topologies in mass-modeling with AlphaFold
Francisco J Guzmán-Vega1, Stefan T Arold1
1Biological and Environmental Science and Engineering Division, Computational Biology Research Center, King Abdullah University of Science and Technology, Thuwal 23955-6900, Kingdom of Saudi Arabia.
Motivation:
The speed and accuracy of deep learning-based structure prediction algorithms make it now possible to perform in silico "pull-downs" to identify protein-protein interactions on a proteome-wide scale. However, on such a large scale, existing scoring algorithms are often insufficient to discriminate biologically relevant interactions from false positives.
Results:
Here, we introduce AlphaCRV, a Python package that helps identify correct interactors in a one-against-many AlphaFold screen by clustering, ranking, and visualizing conserved binding topologies, based on protein sequence and fold.
Availability And Implementation:
AlphaCRV is a Python package for Linux, freely available at https://github.com/strubelab/AlphaCRV.
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