--- dataset_info: features: - name: input_ids sequence: int32 - name: coords sequence: sequence: float64 - name: labels dtype: int64 - name: token_type_ids sequence: int8 splits: - name: train num_bytes: 1419748993 num_examples: 2864 - name: val num_bytes: 394945349 num_examples: 937 - name: test num_bytes: 214263730 num_examples: 347 download_size: 774980058 dataset_size: 2028958072 configs: - config_name: default data_files: - split: train path: data/train-* - split: val path: data/val-* - split: test path: data/test-* --- # Mutation Stability Prediction ## Overview The Mutation Stability Prediction (MSP) task involves classifying whether mutations in the SKEMPI 2.0 database (J. Jankauskaite, B. Jiménez-García et al., 2019) are stabilizing or not using the provided protein structures. 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. A total of 4148 mutant structures accompanied by their 316 WT structures are provided. Non-point mutations or mutants that caused non-binding of the complex were screened out from SKEMPI. Additionally, mutations involving a disulfide bond and mutants from the PDBs 1KBH or 1JCK were ignored due to processing difficulties. 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. If a mutant had multiple conflicting stability results in the original data, the first result seen when processing the SKEMPI dataset was used. ## Datasets - splits: - split-by-year: ## Format Each item in the dataset contains the following keys: - ['input_ids'] The set of atomic numbers for both the mutated and original atoms concatenated together. - ['coords'] The 3D coordinates for both the mutated and original atoms concatenated together. - ['label'] 1 for better binding, 0 for worse or equal. - ['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) ## Citation Information ``` @article{townshend2020atom3d, title={Atom3d: Tasks on molecules in three dimensions}, author={Townshend, Raphael JL and V{\"o}gele, Martin and Suriana, Patricia and Derry, Alexander and Powers, Alexander and Laloudakis, Yianni and Balachandar, Sidhika and Jing, Bowen and Anderson, Brandon and Eismann, Stephan and others}, journal={arXiv preprint arXiv:2012.04035}, year={2020} } ``` ``` @article{jankauskaite2019skempi, title={SKEMPI 2.0: an updated benchmark of changes in protein--protein binding energy, kinetics and thermodynamics upon mutation}, author={Jankauskait{\.e}, Justina and Jim{\'e}nez-Garc{\'\i}a, Brian and Dapk{\=u}nas, Justas and Fern{\'a}ndez-Recio, Juan and Moal, Iain H}, journal={Bioinformatics}, volume={35}, number={3}, pages={462--469}, year={2019}, publisher={Oxford University Press} } ```