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Modeling Immunity with Rosetta: Methods for Antibody and Antigen Design
[Image: see text] Structure-based antibody and antigen design has advanced greatly in recent years, due not only to the increasing availability of experimentally determined structures but also to improved computational methods for both prediction and design. Constant improvements in performance with...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American
Chemical Society
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7992133/ https://www.ncbi.nlm.nih.gov/pubmed/33705117 http://dx.doi.org/10.1021/acs.biochem.0c00912 |
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author | Schoeder, Clara T. Schmitz, Samuel Adolf-Bryfogle, Jared Sevy, Alexander M. Finn, Jessica A. Sauer, Marion F. Bozhanova, Nina G. Mueller, Benjamin K. Sangha, Amandeep K. Bonet, Jaume Sheehan, Jonathan H. Kuenze, Georg Marlow, Brennica Smith, Shannon T. Woods, Hope Bender, Brian J. Martina, Cristina E. del Alamo, Diego Kodali, Pranav Gulsevin, Alican Schief, William R. Correia, Bruno E. Crowe, James E. Meiler, Jens Moretti, Rocco |
author_facet | Schoeder, Clara T. Schmitz, Samuel Adolf-Bryfogle, Jared Sevy, Alexander M. Finn, Jessica A. Sauer, Marion F. Bozhanova, Nina G. Mueller, Benjamin K. Sangha, Amandeep K. Bonet, Jaume Sheehan, Jonathan H. Kuenze, Georg Marlow, Brennica Smith, Shannon T. Woods, Hope Bender, Brian J. Martina, Cristina E. del Alamo, Diego Kodali, Pranav Gulsevin, Alican Schief, William R. Correia, Bruno E. Crowe, James E. Meiler, Jens Moretti, Rocco |
author_sort | Schoeder, Clara T. |
collection | PubMed |
description | [Image: see text] Structure-based antibody and antigen design has advanced greatly in recent years, due not only to the increasing availability of experimentally determined structures but also to improved computational methods for both prediction and design. Constant improvements in performance within the Rosetta software suite for biomolecular modeling have given rise to a greater breadth of structure prediction, including docking and design application cases for antibody and antigen modeling. Here, we present an overview of current protocols for antibody and antigen modeling using Rosetta and exemplify those by detailed tutorials originally developed for a Rosetta workshop at Vanderbilt University. These tutorials cover antibody structure prediction, docking, and design and antigen design strategies, including the addition of glycans in Rosetta. We expect that these materials will allow novice users to apply Rosetta in their own projects for modeling antibodies and antigens. |
format | Online Article Text |
id | pubmed-7992133 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American
Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-79921332021-03-25 Modeling Immunity with Rosetta: Methods for Antibody and Antigen Design Schoeder, Clara T. Schmitz, Samuel Adolf-Bryfogle, Jared Sevy, Alexander M. Finn, Jessica A. Sauer, Marion F. Bozhanova, Nina G. Mueller, Benjamin K. Sangha, Amandeep K. Bonet, Jaume Sheehan, Jonathan H. Kuenze, Georg Marlow, Brennica Smith, Shannon T. Woods, Hope Bender, Brian J. Martina, Cristina E. del Alamo, Diego Kodali, Pranav Gulsevin, Alican Schief, William R. Correia, Bruno E. Crowe, James E. Meiler, Jens Moretti, Rocco Biochemistry [Image: see text] Structure-based antibody and antigen design has advanced greatly in recent years, due not only to the increasing availability of experimentally determined structures but also to improved computational methods for both prediction and design. Constant improvements in performance within the Rosetta software suite for biomolecular modeling have given rise to a greater breadth of structure prediction, including docking and design application cases for antibody and antigen modeling. Here, we present an overview of current protocols for antibody and antigen modeling using Rosetta and exemplify those by detailed tutorials originally developed for a Rosetta workshop at Vanderbilt University. These tutorials cover antibody structure prediction, docking, and design and antigen design strategies, including the addition of glycans in Rosetta. We expect that these materials will allow novice users to apply Rosetta in their own projects for modeling antibodies and antigens. American Chemical Society 2021-03-11 2021-03-23 /pmc/articles/PMC7992133/ /pubmed/33705117 http://dx.doi.org/10.1021/acs.biochem.0c00912 Text en © 2021 The Authors. Published by American Chemical Society Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Schoeder, Clara T. Schmitz, Samuel Adolf-Bryfogle, Jared Sevy, Alexander M. Finn, Jessica A. Sauer, Marion F. Bozhanova, Nina G. Mueller, Benjamin K. Sangha, Amandeep K. Bonet, Jaume Sheehan, Jonathan H. Kuenze, Georg Marlow, Brennica Smith, Shannon T. Woods, Hope Bender, Brian J. Martina, Cristina E. del Alamo, Diego Kodali, Pranav Gulsevin, Alican Schief, William R. Correia, Bruno E. Crowe, James E. Meiler, Jens Moretti, Rocco Modeling Immunity with Rosetta: Methods for Antibody and Antigen Design |
title | Modeling Immunity with Rosetta: Methods for Antibody
and Antigen Design |
title_full | Modeling Immunity with Rosetta: Methods for Antibody
and Antigen Design |
title_fullStr | Modeling Immunity with Rosetta: Methods for Antibody
and Antigen Design |
title_full_unstemmed | Modeling Immunity with Rosetta: Methods for Antibody
and Antigen Design |
title_short | Modeling Immunity with Rosetta: Methods for Antibody
and Antigen Design |
title_sort | modeling immunity with rosetta: methods for antibody
and antigen design |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7992133/ https://www.ncbi.nlm.nih.gov/pubmed/33705117 http://dx.doi.org/10.1021/acs.biochem.0c00912 |
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