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liscence: mit |
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# Dataset Description |
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## Dataset Summary |
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This dataset is a mirror of the Uniprot/SwissProt database. It contains the names and sequences of >500K proteins. |
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This dataset was parsed from the FASTA file at https://ftp.uniprot.org/pub/databases/uniprot/current_release/knowledgebase/complete/uniprot_sprot.fasta.gz. |
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Supported Tasks and Leaderboards: None |
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Languages: English |
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## Dataset Structure |
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### Data Instances |
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Data Fields: id, description, sequence |
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Data Splits: None |
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## Dataset Creation |
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The dataset was downloaded and parsed into a `dataset` object and uploaded unchanged. |
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Initial Data Collection and Normalization: Dataset was downloaded and curated on 03/09/2022. |
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## Considerations for Using the Data |
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Social Impact of Dataset: Due to the tendency of HIV to mutate, drug resistance is a common issue when attempting to treat those infected with HIV. |
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Protease inhibitors are a class of drugs that HIV is known to develop resistance via mutations. |
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Thus, by providing a collection of protease sequences known to be resistant to one or more drugs, this dataset provides a significant collection of data that could be utilized to perform computational analysis of protease resistance mutations. |
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Discussion of Biases: Due to the sampling nature of this database, it is predominantly composed genes from "well studied" genomes. This may impact the "broadness" of the genes contained. |
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## Additional Information: |
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- Dataset Curators: Will Dampier |
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- Citation Information: TBA |
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