biostudies-literatureBunkoczi GWellcome TrustNIGMS NIH HHS2276-86https://www.ebi.ac.uk/biostudies/studies/S-EPMC3817702biostudies-literatureUnknown69(Pt 11)Phaser.MRage is a molecular-replacement automation framework that implements a full model-generation workflow and provides several layers of model exploration to the user. It is designed to handle a large number of models and can distribute calculations efficiently onto parallel hardware. In addition, phaser.MRage can identify correct solutions and use this information to accelerate the search. Firstly, it can quickly score all alternative models of a component once a correct solution has been found. Secondly, it can perform extensive analysis of identified solutions to find protein assemblies and can employ assembled models for subsequent searches. Thirdly, it is able to use a priori assembly information (derived from, for example, homologues) to speculatively place and score molecules, thereby customizing the search procedure to a certain class of protein molecule (for example, antibodies) and incorporating additional biological information into molecular replacement.Acta crystallographica. Section D, Biological crystallographyPhaser.MRage: automated molecular replacement.PMC3817702100140GM063210P01 GM063210082961Adams PDOeffner RDMcCoy AJEchols NBunkoczi GRead RJfalsePhaser.MRage: automated molecular replacement.Phaser.MRage is a molecular-replacement automation framework that implements a full model-generation workflow and provides several layers of model exploration to the user. It is designed to handle a large number of models and can distribute calculations efficiently onto parallel hardware. In addition, phaser.MRage can identify correct solutions and use this information to accelerate the search. Firstly, it can quickly score all alternative models of a component once a correct solution has been found. Secondly, it can perform extensive analysis of identified solutions to find protein assemblies and can employ assembled models for subsequent searches. Thirdly, it is able to use a priori assembly information (derived from, for example, homologues) to speculatively place and score molecules, thereby customizing the search procedure to a certain class of protein molecule (for example, antibodies) and incorporating additional biological information into molecular replacement.2013-01-01T00:00:00Z2013 Nov2024-10-15T12:11:00.673Z2019-03-27T03:08:05ZS-EPMC38177022418924010.1107/S0907444913022750