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. 2006 Jan 1;34(Database issue):D306-9.
doi: 10.1093/nar/gkj105.

The PMDB Protein Model Database

Affiliations

The PMDB Protein Model Database

Tiziana Castrignanò et al. Nucleic Acids Res. .

Abstract

The Protein Model Database (PMDB) is a public resource aimed at storing manually built 3D models of proteins. The database is designed to provide access to models published in the scientific literature, together with validating experimental data. It is a relational database and it currently contains >74,000 models for approximately 240 proteins. The system is accessible at http://www.caspur.it/PMDB and allows predictors to submit models along with related supporting evidence and users to download them through a simple and intuitive interface. Users can navigate in the database and retrieve models referring to the same target protein or to different regions of the same protein. Each model is assigned a unique identifier that allows interested users to directly access the data.

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Figures

Figure 1
Figure 1
PMDB overview. Information about each of the models satisfying the search criteria can be easily retrieved. When a user uploads a model, its amino acid sequence is automatically retrieved from its coordinate file. Residues for which coordinates are not available in the PDB model file, if any, can be manually inserted.

References

    1. Todd A.E., Marsden R.L., Thornton J.M., Orengo C.A. Progress of structural genomics initiatives: an analysis of solved target structures. J. Mol. Biol. 2005;348:1235–1260. - PubMed
    1. Moult J., Fidelis K., Zemla A., Hubbard T. Critical assessment of methods of protein structure prediction (CASP)-round V. Proteins. 2003;53(Suppl. 6):334–339. - PubMed
    1. Giorgetti A., Raimondo D., Miele A.E., Tramontano A. Evaluating the usefulness of protein structure models for molecular replacement. Bioinformatics. 2005;21(Suppl. 2):72–76. - PubMed
    1. Jones D.T. Evaluating the potential of using fold-recognition models for molecular replacement. Acta Crystallogr. D. 2001;57:1428–1434. - PubMed
    1. Peitsch M.C. About the use of protein models. Bioinformatics. 2002;18:934–938. - PubMed

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