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README.md
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- split: test
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path: data/test-*
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---
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- split: test
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path: data/test-*
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---
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# Mutation Stability Prediction
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## Overview
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The Mutation Stability Prediction (MSP) task involves classifying whether
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mutations in the SKEMPI 2.0 database (J. Jankauskaite, B. Jiménez-García et al., 2019) are stabilizing or not using the provided protein structures.
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Each mutation in the MSP task includes a PDB file with the residue of interest transformed to the specified mutant amino acid as well as the native PDB file.
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A total of 4148 mutant structures accompanied by their 316 WT structures are provided.
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Non-point mutations or mutants that caused non-binding of the complex were screened out from SKEMPI.
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Additionally, mutations involving a disulfide bond and mutants from the PDBs 1KBH or 1JCK were ignored due to processing difficulties.
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A label of 1 was assigned to a mutant if the Kd of the mutant protein was less than that of the wild-type protein, indicating better binding, and 0 otherwise.
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If a mutant had multiple conflicting stability results in the original data, the first result seen when processing the SKEMPI dataset was used.
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## Datasets
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- splits:
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- split-by-year:
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## Format
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Each item in the dataset contains the following keys:
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['input_ids'] The set of atomic numbers for both the mutated and original atoms concatenated together.
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['coords'] The 3D coordinates for both the mutated and original atoms concatenated together.
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['label'] 1 for better binding, 0 for worse or equal.
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['token_type_ids'] A mask that corresponds to which `inputs_ids`/`coords` belong to the mutated or original atoms (0 for mutated , 1 for original)
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