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PeptiHub:精确注释癌症相关的精心策划的存储库,具有用于探和发现的先进实用程序

Sara Zareei¹, Babak Khorsand^2,3, Alireza Dantism⁴

¹Department of Cell & Molecular Biology, Faculty of Biological Sciences, Kharazmi University, South Mofateh Ave. , Tehran 15719-14911, Iran.

Database : the journal of biological databases and curation

|September 23, 2024

概括

PeptiHub是874种与癌症相关的 (CRP) 的新数据库,具有多种活动. 它通过提供特征,3D结构和针对抗癌药物设计和分类的搜索工具来帮助研究.

科学领域:

生物信息学是一种生物信息学.
计算生物学计算生物学
癌症研究癌症研究

背景情况:

与癌症相关的 (CRPs) 起到不同的作用,从治疗剂到药物载体或致癌物.
需要一个全面的,精心策划的数据库来探索和有效地利用CRP在研究中.

研究的目的:

介绍PeptiHub,这是一个精心策划的癌症相关 (CRP) 的存储库.
为研究人员提供一种多功能工具,用于探索CRP,其活动和机器学习应用程序的功能.

主要方法:

来自科学文献的精选数据,涉及10个生物体,26个器官和438个细胞系的874个CRPs.
包含每个的实验和预测的3D形状.
开发基本,高级和BLAST搜索功能.
根据活性对的注释 (抗癌,没有效果,致癌物等). 和有效性 (率,IC50).
提供1141个特征,包括氨基酸组成和物理化学性质.

主要成果:

PeptiHub拥有874种与癌症相关的,具有各种记录的活动.
该数据库提供有关活性,有效性和生物体/组织特异性的详细注释.
可访问的3D形状和1141个特征可用于高级分析.
搜索功能允许基于基本,高级和序列相似性标准进行探索.

结论:

PeptiHub是癌症相关类研究的宝贵资源.
该数据库有助于构建机器学习模型的培训和测试数据集.
PeptiHub有助于加快用于癌症治疗的类设计和分类.

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