PREreviews of “Using AlphaFold Multimer to discover interkingdom protein-protein interactions”

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Using AlphaFold Multimer to discover interkingdom protein-protein interactions

by Felix Homma, Joy Lyu, and Renier A. L. van der Hoorn

Posted: June 14, 2024
Server: bioRxiv
DOI: 10.1101/2024.06.14.599045

Abstract

Structural prediction by artificial intelligence (AI) can be powerful new instruments to discover novel protein-protein interactions, but the community still grapples with the implementation, opportunities and limitations. Here, we discuss and re-analyse our in-silico screen for novel pathogen-secreted inhibitors of immune hydrolases to illustrate the power and limitations of structural predictions. We discuss strategies of curating sequences, including controls, and reusing sequence alignments and highlight important limitations originating from platforms, sequence depth and computing times. We hope these experiences will support similar interactomic screens by the research community.

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PREreview by Andrés Posbeyikian of the TSL Preprint Club

Authored by Andrés Posbeyikian of the TSL Preprint Club

Preprint review of “Using AlphaFold Multimer to discover interkingdom protein-protein interactions”
By Andrés Posbeyikian
Summary
This perspective by Felix Homma et al. describes both general aspects and details on how to apply AlphaFold Multimer (AFM) to the discovery of novel interkingdom…

Read the PREreview by Andrés Posbeyikian of the TSL Preprint Club

PREreviews of Using AlphaFold Multimer to discover interkingdom protein-protein interactions

1 PREreview

Preprint review of “Using AlphaFold Multimer to discover interkingdom protein-protein interactions”

Summary