Abstract

The Protein Model Portal (PMP) has been developed to foster effective use of 3D molecular models in biomedical research by providing convenient and comprehensive access to structural information for proteins. Both experimental structures and theoretical models for a given protein can be searched simultaneously and analyzed for structural variability. By providing a comprehensive view on structural information, PMP offers the opportunity to apply consistent assessment and validation criteria to the complete set of structural models available for proteins. PMP is an open project so that new methods developed by the community can contribute to PMP, for example, new modeling servers for creating homology models and model quality estimation servers for model validation. The accuracy of participating modeling servers is continuously evaluated by the Continuous Automated Model EvaluatiOn (CAMEO) project. The PMP offers a unique interface to visualize structural coverage of a protein combining both theoretical models and experimental structures, allowing straightforward assessment of the model quality and hence their utility. The portal is updated regularly and actively developed to include latest methods in the field of computational structural biology. Database URL: http://www.proteinmodelportal.org.

Keywords

Computer scienceServerResource (disambiguation)Set (abstract data type)Structural bioinformaticsProtein structure predictionData miningProtein structureWorld Wide WebBiology

MeSH Terms

AutomationComputational BiologyDatabasesProteinModelsMolecularProteinsSearch EngineSoftwareUser-Computer Interface

Affiliated Institutions

Related Publications

Publication Info

Year
2013
Type
article
Volume
2013
Pages
bat031-bat031
Citations
281
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

281
OpenAlex
20
Influential
229
CrossRef

Cite This

Juergen Haas, Steven Roth, Konstantin Arnold et al. (2013). The Protein Model Portal—a comprehensive resource for protein structure and model information. Database , 2013 , bat031-bat031. https://doi.org/10.1093/database/bat031

Identifiers

DOI
10.1093/database/bat031
PMID
23624946
PMCID
PMC3889916

Data Quality

Data completeness: 86%