Pfam蛋白质结构数据集

<p>基于蛋白质家族和结构域的分类数据库Pfam蛋白质结构数据集</p><p>数据来源：公开网站<a href="https://opendatalab.org.cn/OpenScienceLab/Pfam" rel="noopener noreferrer" target="_blank">https://opendatalab.org.cn/OpenScienceLab/Pfam</a></p><p>数据规模：24,736 条, 分为780 个家族</p><p>数据特点：基于蛋白质家族和结构域的分类数据库，每个蛋白质家族都由多个序列比对和隐藏马尔可夫模型 （HMM） 表示。发布机构：欧洲生物信息研究所</p><p>应用场景：蛋白质结构预测。主要用于生物信息学研究，如基因序列比对、蛋白质结构预测、分子进化分析、疾病相关基因筛选等；也可为药物研发提供靶点分子数据支撑，或作为教学资源用于生物信息学课程的数据分析实践</p>

<p>Pfam Protein Structure Dataset: A protein structure dataset based on the Pfam classification database for protein families and domains</p><p>Data Source: Publicly available website <a href="https://opendatalab.org.cn/OpenScienceLab/Pfam" rel="noopener noreferrer" target="_blank">https://opendatalab.org.cn/OpenScienceLab/Pfam</a></p><p>Dataset Size: 24,736 entries, categorized into 780 protein families</p><p>Dataset Characteristics: This dataset is a classification database for protein families and domains, where each protein family is represented by multiple sequence alignments and Hidden Markov Models (HMMs). Issuing Institution: European Bioinformatics Institute</p><p>Application Scenarios: Primarily used for protein structure prediction and other bioinformatics research, including gene sequence alignment, protein structure prediction, molecular evolution analysis, disease-related gene screening and other related fields; it can also provide data support for target molecules in drug development, or serve as teaching resources for data analysis practical exercises in bioinformatics courses</p>