Removing T-cell epitopes with computational protein design.
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Protein redesign by learning from data.Protein deimmunization via structure-based design enables efficient epitope deletion at high mutational loadsAntibody humanization by structure-based computational protein design.CD4+ T-cell epitope prediction using antigen processing constraintsAchievements and Challenges in Computational Protein Design.Recombinant immunotoxin for cancer treatment with low immunogenicity by identification and silencing of human T-cell epitopes.Insights into Hunter syndrome from the structure of iduronate-2-sulfataseElimination of tumorigenic human pluripotent stem cells by a recombinant lectin-toxin fusion proteinProgress and prospects of gene therapy clinical trials for the muscular dystrophies.Depletion of T cell epitopes in lysostaphin mitigates anti-drug antibody response and enhances antibacterial efficacy in vivo.Structure-based redesign of lysostaphin yields potent antistaphylococcal enzymes that evade immune cell surveillance.Adaptive Immunity to Leukemia Is Inhibited by Cross-Reactive Induced Regulatory T CellsPoor correlation between T-cell activation assays and HLA-DR binding prediction algorithms in an immunogenic fragment of Pseudomonas exotoxin A.EpiSweep: Computationally Driven Reengineering of Therapeutic Proteins to Reduce Immunogenicity While Maintaining Function.A critical analysis of computational protein design with sparse residue interaction graphs.Computationally optimized deimmunization libraries yield highly mutated enzymes with low immunogenicity and enhanced activity.Immunogenicity of therapeutic recombinant immunotoxins.BWM*: A Novel, Provable, Ensemble-based Dynamic Programming Algorithm for Sparse Approximations of Computational Protein Design.Rational design of low immunogenic anti CD25 recombinant immunotoxin for T cell malignancies by elimination of T cell epitopes in PE38.Design and engineering of deimmunized biotherapeutics.Immunosilencing a highly immunogenic protein trimerization domain.Immunity to CRISPR Cas9 and Cas12a therapeutics.Designing a mutant Candida uricase with improved polymerization state and enzymatic activity.Massively parallel de novo protein design for targeted therapeutics.GradDock: Rapid Simulation and Tailored Ranking Functions for Peptide-MHC Class I Docking.Development of a strategy and computational application to select candidate protein analogues with reduced HLA binding and immunogenicity.Application of Assisted Design of Antibody and Protein Therapeutics (ADAPT) improves efficacy of a Clostridium difficile toxin A single-domain antibody.Population-specific design of de-immunized protein biotherapeutics.Recent advances in automated protein design and its future challenges.Structure-Based Drug Discovery Without Structure: Working Around the Paradox to Disrupt Protein-Protein AssociationsProtein design: from computer models to artificial intelligence
P2860
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P2860
Removing T-cell epitopes with computational protein design.
description
2014 nî lūn-bûn
@nan
2014 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Removing T-cell epitopes with computational protein design.
@ast
Removing T-cell epitopes with computational protein design.
@en
type
label
Removing T-cell epitopes with computational protein design.
@ast
Removing T-cell epitopes with computational protein design.
@en
prefLabel
Removing T-cell epitopes with computational protein design.
@ast
Removing T-cell epitopes with computational protein design.
@en
P2093
P2860
P356
P1476
Removing T-cell epitopes with computational protein design.
@en
P2093
Chris King
Esteban N Garza
Ira Pastan
Jonathan L Linehan
Marion Pepper
Ronit Mazor
P2860
P304
P356
10.1073/PNAS.1321126111
P407
P50
P577
2014-05-19T00:00:00Z