Who is Using OpenStructure?
SWISS-MODEL - Expert System for Protein Structure Modelling
SWISS-MODEL is a widely used automated protein structure homology-modelling server for generating three-dimensional models of a protein. SWISS-MODEL automates the complex process of model building on an easy to use web based system, thereby making model information available also for non-specialists.
SWISS-MODEL Repository - Database of 3D Protein Structure Models for UniProtKB
The aim of the SWISS-MODEL Repository is to provide access to an up-to-date collection of annotated 3D protein models generated by automated homology modelling for relevant model organisms and experimental structure information for all sequences in UniProtKB. Regular updates ensure that target coverage is complete, that models are built using the most recent sequence and template structure databases, and that improvements in the underlying modelling pipeline are fully utilised. It also allows users to assess the quality of the models using the latest QMEAN results. If a sequence has not been modelled, the user can build models interactively via the SWISS-MODEL workspace.
CAMEO - Continuous Automated Model EvaluatiOn
CAMEO is a community-wide project, running since January 2012, intended as complement to the bi-annual CASP experiment. CAMEO relies on the weekly PDB pre-release and performs a fully automated assessment of the performance of: protein structure prediction methods (category 3D), ligand binding prediction methods (category LB) and model quality estimation methods (category QE). CAMEO is continuously maintained and developed (beta.cameo3d.org) and actually counts 57 different methods registered that are developed by 18 different groups.
QMEAN - Quality Assessment of Protein Structures
The QMEAN server provides access to two scoring functions successfully tested at the eighth round of the community-wide blind test experiment CASP. The user can choose between the composite scoring function QMEAN, which derives a quality estimate on the basis of the geometrical analysis of single models, and the clustering-based scoring function QMEANclust which calculates a global and local quality estimate based on a weighted all-against-all comparison of the models from the ensemble provided by the user.
IPLT - Images Processing Library and Toolkit
The Image Processing Library & Toolbox is an open-source project, released under the GPL. It is primarily aimed at the electron microscopy community, with particular emphasis on 2D electron crystallography. It consists of several modular class libraries written in C++, each exposing a majority of their interface to Python, upon which the processing logic is build.
lDDT - Local Distance Difference Test
The local Distance Difference Test (lDDT) is a superposition-free score which evaluates local distance differences in a model compared to a reference structure.