protein-detective is an open-source Python tool that helps deduce protein identities from electron microscopy (EM) density maps. It integrates with tools like AlphaFold, supports standard structural formats (PDB, mmCIF), and queries UniProt. The package is designed for researchers working in structural biology and computational modeling.
In the AI & ML space, protein-detective takes a focused approach. It focuses on identifying unknown proteins from cryo-EM density maps without manual structure matching. It is built as an open-source project for structural biologists and bioinformaticians. protein-detective is open source under the Apache-2.0 license. protein-detective is available on the command line.
HADDOCK builds and maintains protein-detective, and it first shipped in 2025. The project is developed in the open on GitHub with 73 commits in the last 90 days. Among its 4 catalogued features are EM density analysis, protein identification, and alphaFold integration.
Summary written by a language model from the project’s public pages.
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