WEBnm@: a web application for normal mode analyses of proteins
Autor: | Hollup, Siv Midtun, Sælensminde, Gisle, Reuter, Nathalie |
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Rok vydání: | 2004 |
Předmět: |
Cytoplasm
Protein Folding Protein Conformation Genetic Vectors Information Storage and Retrieval Calcium-Transporting ATPases lcsh:Computer applications to medicine. Medical informatics Sarcoplasmic Reticulum Calcium-Transporting ATPases User-Computer Interface Medisinske Fag: 700 [VDP] Sequence Analysis Protein Nucleic Acids Computer Graphics Databases Protein lcsh:QH301-705.5 Internet Models Statistical Molecular Structure Computational Biology Proteins Protein Structure Tertiary lcsh:Biology (General) lcsh:R858-859.7 Database Management Systems Peptides Algorithms Software |
Zdroj: | BMC Bioinformatics BMC Bioinformatics, Vol 6, Iss 1, p 52 (2005) |
ISSN: | 1471-2105 |
Popis: | Background Normal mode analysis (NMA) has become the method of choice to investigate the slowest motions in macromolecular systems. NMA is especially useful for large biomolecular assemblies, such as transmembrane channels or virus capsids. NMA relies on the hypothesis that the vibrational normal modes having the lowest frequencies (also named soft modes) describe the largest movements in a protein and are the ones that are functionally relevant. Results We developed a web-based server to perform normal modes calculations and different types of analyses. Starting from a structure file provided by the user in the PDB format, the server calculates the normal modes and subsequently offers the user a series of automated calculations; normalized squared atomic displacements, vector field representation and animation of the first six vibrational modes. Each analysis is performed independently from the others and results can be visualized using only a web browser. No additional plug-in or software is required. For users who would like to analyze the results with their favorite software, raw results can also be downloaded. The application is available on http://www.bioinfo.no/tools/normalmodes. We present here the underlying theory, the application architecture and an illustration of its features using a large transmembrane protein as an example. Conclusion We built an efficient and modular web application for normal mode analysis of proteins. Non specialists can easily and rapidly evaluate the degree of flexibility of multi-domain protein assemblies and characterize the large amplitude movements of their domains. |
Databáze: | OpenAIRE |
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