PDB@:用于探索和分析PDB文件的离线工具包。

Udayakumar Mani, Sadhana Ravisankar, Sai Mukund Ramakrishnan
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引用次数: 5

摘要

蛋白质数据库(PDB)是一个免费访问的生物分子三维结构数据档案。基于结构的研究为从结构数据推断蛋白质分子的性质提供了独特的优势。这个任务太大了,不可能手工完成。此外,没有单一的工具、软件或服务器可以全面分析所有基于结构的属性。目前的工作目标是开发一个离线计算工具包,PDB@包含内置算法,帮助分类蛋白质分子的结构特性。用户可以根据需要查看和编辑PDB文件。当前工作的某些功能本身是独一无二的,而其他功能则是对现有工具的改进。此外,以图形和文本格式表示蛋白质特性有助于在单个平台上预测蛋白质分子的所有必要细节。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PDB@: an offline toolkit for exploration and analysis of PDB files.

Protein Data Bank (PDB) is a freely accessible archive of the 3-D structural data of biological molecules. Structure based studies offers a unique vantage point in inferring the properties of a protein molecule from structural data. This is too big a task to be done manually. Moreover, there is no single tool, software or server that comprehensively analyses all structure-based properties. The objective of the present work is to develop an offline computational toolkit, PDB@ containing in-built algorithms that help categorizing the structural properties of a protein molecule. The user has the facility to view and edit the PDB file to his need. Some features of the present work are unique in itself and others are an improvement over existing tools. Also, the representation of protein properties in both graphical and textual formats helps in predicting all the necessary details of a protein molecule on a single platform.

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