The Protein Model Portal—a comprehensive resource for protein structure and model information

TLDR

The Protein Model Portal (PMP) was created to enable biomedical research by providing comprehensive, convenient access to protein structural information and allowing consistent assessment and validation of all available models. PMP lets users search both experimental structures and theoretical models for a protein simultaneously, analyze structural variability, and incorporates community‑developed modeling and quality‑estimation servers whose accuracy is continuously evaluated by the CAMEO project, with the portal regularly updated to include the latest computational structural biology methods. The portal offers a unique interface that visualizes a protein’s structural coverage by combining experimental and theoretical models, enabling straightforward assessment of model quality and utility. The portal’s database is available at http://www.proteinmodelportal.org.

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