shannoncoelho/uniprot

---
liscence: mit
---

# Dataset Description

## Dataset Summary

This dataset is a mirror of the Uniprot/SwissProt database. It contains the names and sequences of >500K proteins.

This dataset was parsed from the FASTA file at https://ftp.uniprot.org/pub/databases/uniprot/current_release/knowledgebase/complete/uniprot_sprot.fasta.gz.

Supported Tasks and Leaderboards: None

Languages: English

## Dataset Structure

### Data Instances

Data Fields: id, description, sequence

Data Splits: None

## Dataset Creation

The dataset was downloaded and parsed into a `dataset` object and uploaded unchanged.

Initial Data Collection and Normalization: Dataset was downloaded and curated on 03/09/2022.

## Considerations for Using the Data

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.
Protease inhibitors are a class of drugs that HIV is known to develop resistance via mutations.
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.

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.

## Additional Information:
- Dataset Curators: Will Dampier
- Citation Information: TBA

许可证：MIT

# 数据集说明

## 数据集概述
本数据集为通用蛋白质资源（UniProt）/SwissProt数据库的镜像副本，收录了超过50万个蛋白质的名称与序列。本数据集源自https://ftp.uniprot.org/pub/databases/uniprot/current_release/knowledgebase/complete/uniprot_sprot.fasta.gz处的FASTA格式文件并完成解析。
支持任务与排行榜：无
语言：英语

## 数据集结构
### 数据实例
数据字段：标识符（id）、描述信息、序列
数据划分：无

## 数据集构建
本数据集下载并解析为数据集对象后，未做修改即完成上传。
初始数据收集与规范化：本数据集于2022年3月9日完成下载与整理。

## 数据使用注意事项
### 数据集的社会影响
由于HIV具有较高的突变倾向，耐药性是HIV感染者临床治疗中常见的难题。蛋白酶抑制剂是一类HIV可通过突变产生耐药性的药物。因此，本数据集收录了对一种或多种药物具有耐药性的蛋白酶序列集合，可为蛋白酶耐药突变的计算分析提供丰富的数据资源。

### 偏差说明
受该数据库采样特性的限制，本数据集主要收录了"研究较为充分"的基因组中的基因，这可能会影响所包含基因的覆盖广度。

## 附加信息
- 数据集策展人：Will Dampier
- 引用信息：待公布