An Introductory (Virtual) Workshop to the Rosetta Protein Modeling Suite
The goal of the workshop is to educate and train academic and industry users on the Rosetta software suite, particularly those whose interests are modeling antibodies and antibody-antigen complexes.
Rosetta is freely distributed to the academic community by RosettaCommons.
Industry usage includes licensing fees that support research and development of Rosetta software.
While we've held in-person workshops in the past, this workshop is a Virtual on-line only workshop. Participants will be responsible for setting up their own machines,
installing Rosetta and other required software, and working on the self-paced tutorials on their own.
While this workshop will be focused on protocols specific to antibody and antigent modeling, it should also serve as a good introduction to general Rosetta usage.
(Materials from a previous general virtual workshop are also availible online.)
Rosetta is a unified software package for protein structure prediction and functional design.
It has been used to predict protein structures with and without the aid of sparse experimental data,
perform protein-protein and protein-small molecule docking, design novel proteins and redesign existing proteins for altered function.
Rosetta allows for rapid tests of hypotheses in biomedical research which would be impossible or exorbitantly expensive to perform via traditional experimental methods.
Thereby, Rosetta methods are becoming increasingly important in the interpretation of biological findings, e.g., from genome projects and in the engineering of therapeutics, probe molecules and model systems in biomedical research
(Kaufmann, et al. "Practically Useful: What the Rosetta Protein Modeling Suite Can Do for You." Biochemistry 2010;
Bender, et al. "Protocols for Molecular Modeling with Rosetta3 and RosettaScripts." Biochemistry 2016.; Schoeder et al. "Modeling Immunity with Rosetta: Methods for Antibody and Antigen Design." Biochemistry 2021 )
The Rosetta Workshop is supported in part by