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Modeling Immunity with Rosetta: Methods for Antibody and Antigen Design.

Authors :
Schoeder CT
Schmitz S
Adolf-Bryfogle J
Sevy AM
Finn JA
Sauer MF
Bozhanova NG
Mueller BK
Sangha AK
Bonet J
Sheehan JH
Kuenze G
Marlow B
Smith ST
Woods H
Bender BJ
Martina CE
Del Alamo D
Kodali P
Gulsevin A
Schief WR
Correia BE
Crowe JE Jr
Meiler J
Moretti R
Source :
Biochemistry [Biochemistry] 2021 Mar 23; Vol. 60 (11), pp. 825-846. Date of Electronic Publication: 2021 Mar 11.
Publication Year :
2021

Abstract

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.

Details

Language :
English
ISSN :
1520-4995
Volume :
60
Issue :
11
Database :
MEDLINE
Journal :
Biochemistry
Publication Type :
Academic Journal
Accession number :
33705117
Full Text :
https://doi.org/10.1021/acs.biochem.0c00912