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bioRxiv · 10.1101/2024.02.07.578780

AlphaCRV: A Pipeline for Identifying Accurate Binder Topologies in Mass-Modeling with AlphaFold

Guzman-Vega, F. J.·Arold, S. T.
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Abstract

The speed and accuracy of deep learning-based structure prediction algorithms makes it now possible to perform in silico "pull-downs" to identify protein-protein interactions at a proteome-wide scale. However, existing scoring algorithms struggle to accurately identify correct interactions at such a large scale, resulting in an excessive number of false positives. 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.

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Guzman-Vega, F. J., Arold, S. T.. 2024-02-08. AlphaCRV: A Pipeline for Identifying Accurate Binder Topologies in Mass-Modeling with AlphaFold. https://doi.org/10.1101/2024.02.07.578780

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