PDB@: An offline toolkit for exploration and analysis of PDB files
| Autor: | Udayakumar Mani, Sadhana Ravisankar, Sai Mukund Ramakrishnan |
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| Rok vydání: | 2013 |
| Předmět: |
Structure (mathematical logic)
Internet Computer science business.industry Vantage point Protein Data Bank (RCSB PDB) Computational Biology Proteins General Medicine computer.file_format Protein Data Bank computer.software_genre Biochemistry Task (computing) Software Structural Biology Genetics Structure based Data mining Databases Protein Representation (mathematics) business computer Algorithms |
| Zdroj: | Journal of Structural and Functional Genomics. 14:127-133 |
| ISSN: | 1570-0267 1345-711X |
| DOI: | 10.1007/s10969-013-9162-x |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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