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AF3 Inspector: In-Browser 3D Model Visualization and Confidence Analytics for AlphaFold 3

AlphaFold 3 (AF3) has broadened the computational structural biology landscape by predicting all-atom complexes across proteins, nucleic acids, small-molecule ligands, and ions, including chemical modifications. For non-experts, Google provides a fully web-based service to utilize AlphaFold 3. Unfortunately, despite a flexible and rich interface for inputs, the server's outputs are incomplete and…

A new web-based tool called the AlphaFold 3 Multi-Model Inspector (AF3 Inspector) has been developed to improve the accessibility and usability of the AlphaFold 3 structural biology prediction system. AF3, which can predict all-atom complexes across various molecular types, has made significant strides in computational structural biology. However, the outputs are often incomplete and difficult for non-experts to interpret, with limited confidence metrics and a lack of interactivity.

AF3 Inspector is an open, client-side web application that runs entirely within web browsers, making it accessible on any device and operating system without requiring installation. This multi-model inspector tackles key practical challenges identified through recent community benchmarks, such as the CASP16 competition. The platform offers a range of features designed to enhance the user experience and make the complex results of AF3 more comprehensible.

Key features of AF3 Inspector include 3D visualization of all structural models in various styles and colors, the ability to overlay models with backbone alignment, interactive plots for pLDDT profiles, pAE matrices, and contact maps, automated detection of ligands, ions, and post-translational modifications, and a rapid mmCIF-to-PDB conversion tool for downloading more familiar file formats.

By providing a comprehensive and interactive platform for exploring AlphaFold 3's results, AF3 Inspector aims to democratize access to this powerful computational tool and facilitate broader adoption within the structural biology community.

Written by urgent.news from bioRxiv's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at biorxiv.org →

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