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SNAPPI-DB: a database and API of Structures iNterfaces and Alignments for Protein–Protein Interactions

机译:SNAPPI-DB:用于蛋白质-蛋白质相互作用的结构iN界面和序列的数据库和API

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摘要

SNAPPI-DB, a high performance database of Structures, iNterfaces and Alignments of Protein–Protein Interactions, and its associated Java Application Programming Interface (API) is described. SNAPPI-DB contains structural data, down to the level of atom co-ordinates, for each structure in the Protein Data Bank (PDB) together with associated data including SCOP, CATH, Pfam, SWISSPROT, InterPro, GO terms, Protein Quaternary Structures (PQS) and secondary structure information. Domain–domain interactions are stored for multiple domain definitions and are classified by their Superfamily/Family pair and interaction interface. Each set of classified domain–domain interactions has an associated multiple structure alignment for each partner. The API facilitates data access via PDB entries, domains and domain–domain interactions. Rapid development, fast database access and the ability to perform advanced queries without the requirement for complex SQL statements are provided via an object oriented database and the Java Data Objects (JDO) API. SNAPPI-DB contains many features which are not available in other databases of structural protein–protein interactions. It has been applied in three studies on the properties of protein–protein interactions and is currently being employed to train a protein–protein interaction predictor and a functional residue predictor. The database, API and manual are available for download at: .
机译:SNAPPI-DB是蛋白质-蛋白质相互作用的结构,界面和比对的高性能数据库,及其相关的Java应用程序编程接口(API)。 SNAPPI-DB包含蛋白质数据库(PDB)中每个结构的原子数据级别的结构数据以及相关的数据,包括SCOP,CATH,Pfam,SWISSPROT,InterPro,GO术语,蛋白质四级结构( PQS)和二级结构信息。域间交互存储用于多个域定义,并按其超家族/家族对和交互接口进行分类。每组分类的域间相互作用都为每个伙伴具有关联的多个结构对齐方式。该API通过PDB条目,域和域-域交互来促进数据访问。通过面向对象的数据库和Java数据对象(JDO)API提供了快速开发,快速的数据库访问以及无需复杂的SQL语句即可执行高级查询的功能。 SNAPPI-DB包含许多功能,这些功能在其他结构蛋白质-蛋白质相互作用的数据库中是不可用的。它已用于蛋白质-蛋白质相互作用特性的三项研究中,目前正用于训练蛋白质-蛋白质相互作用预测因子和功能性残基预测因子。该数据库,API和手册可从以下网址下载:。

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