Your browser doesn't support javascript.
loading
MHCEpitopeEnergy, a Flexible Rosetta-Based Biotherapeutic Deimmunization Platform.
Yachnin, Brahm J; Mulligan, Vikram Khipple; Khare, Sagar D; Bailey-Kellogg, Chris.
Afiliação
  • Yachnin BJ; Department of Chemistry and Chemical Biology and Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey 08854, United States.
  • Mulligan VK; Center for Computational Biology, Flatiron Institute, 162 Fifth Avenue, New York, New York 10010, United States.
  • Khare SD; Department of Chemistry and Chemical Biology and Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey 08854, United States.
  • Bailey-Kellogg C; Department of Computer Science, Dartmouth College, Hanover, New Hampshire 03755, United States.
J Chem Inf Model ; 61(5): 2368-2382, 2021 05 24.
Article em En | MEDLINE | ID: mdl-33900750
ABSTRACT
As non-"self" macromolecules, biotherapeutics can trigger an immune response that can reduce drug efficacy, require patients to be taken off therapy, or even cause life-threatening reactions. To enable the flexible and facile design of protein biotherapeutics while reducing the prevalence of T-cell epitopes that drive immune recognition, we have integrated into the Rosetta protein design suite a new scoring term that allows design protocols to account for predicted or experimentally identified epitopes in the optimized objective function. This flexible scoring term can be used in any Rosetta design trajectory, can be targeted to specific regions of a protein, and can be readily extended to work with a variety of epitope predictors. By performing extensive design runs with varied design parameter choices for three case study proteins as well as a larger diverse benchmark, we show that the incorporation of this scoring term enables the effective exploration of an alternative, deimmunized sequence space to discover diverse proteins that are potentially highly deimmunized while retaining physical and chemical qualities similar to those yielded by equivalent nondeimmunizing sequence design protocols.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Engenharia de Proteínas / Biologia Computacional Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Engenharia de Proteínas / Biologia Computacional Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article