MHCEpitopeEnergy, a Flexible Rosetta-Based Biotherapeutic Deimmunization Platform

Brahm J. Yachnin, Vikram Khipple Mulligan, Sagar D. Khare, Chris Bailey-Kellogg

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)2368-2382
Number of pages15
JournalJournal of Chemical Information and Modeling
Volume61
Issue number5
DOIs
StatePublished - May 24 2021

All Science Journal Classification (ASJC) codes

  • General Chemistry
  • General Chemical Engineering
  • Computer Science Applications
  • Library and Information Sciences

Fingerprint

Dive into the research topics of 'MHCEpitopeEnergy, a Flexible Rosetta-Based Biotherapeutic Deimmunization Platform'. Together they form a unique fingerprint.

Cite this