Rosetta:MSF: a modular framework for multi-state computational protein design
Patrick Löffler(University of Regensburg), Rainer Merkl(University of Regensburg), Reinhard Sterner(University of Regensburg), Enrico Hupfeld(University of Regensburg), Samuel Schmitz(Vanderbilt University)
Cited by 75
Related Papers
Modeling Immunity with Rosetta: Methods for Antibody and Antigen Design
|Biochemistry|2021|63
Plasmodium falciparum Nucleosomes Exhibit Reduced Stability and Lost Sequence Dependent Nucleosome Positioning
|PLoS Pathogens|2016|46
Identification of a novel leptin receptor (LEPR) variant and proof of functional relevance directing treatment decisions in patients with morbid obesity
|Metabolism|2020|36
PyIR: a scalable wrapper for processing billions of immunoglobulin and T cell receptor sequences using IgBLAST
|BMC Bioinformatics|2020|34
Rosetta design with co-evolutionary information retains protein function
|PLoS Computational Biology|2021|30