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# PSBench
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A large-scale benchmark for developing and evaluating methods for estimating protein complex structural model accuracy (EMA). It includes four components: (I) datasets for training and evaluating EMA methods; (II) scripts to evaluate the prediction results of EMA methods on the datasets; (III) scripts to label new benchmark datasets; and (IV) baseline EMA methods which users can compare their EMA methods with.
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A large-scale benchmark for developing and evaluating methods for estimating protein complex structural model accuracy (EMA). It includes four components: (I) datasets for training and evaluating EMA methods; (II) scripts to evaluate the prediction results of EMA methods on the datasets; (III) scripts to reproduce the results of the EMA methods in PSBench; (IV) scripts to label new benchmark datasets; and (V) baseline EMA methods which users can compare their EMA methods with.
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![PSBench Pipeline, Methods and Metrics](imgs/pipeline_methods_metrics.png)
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### Data Repository at Harvard Dataverse

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