Literature DB >> 17554860

Prediction of immunogenicity for therapeutic proteins: state of the art.

Anne S De Groot1, Leonard Moise.   

Abstract

Immunogenicity is a significant problem associated with protein therapeutics, but can be predicted in advance by in silico, in vitro, and in vivo tools, which can identifiy sequences within the therapeutic protein that, when processed by T-cells, elicit an immune response. Recent developments in T-cell-dependent immunology relating to the immunogenicity of therapeutic products include the description of toll-like receptor ligands and the identification and classification of regulatory T-cells. A limitation in determining the relative immunogenicity of potential therapeutic proteins is the variance in the immunogenicity determined by in vitro or in vivo techniques in animal and human models. However, given the sophistication and high-throughput capacity of existing in silico tools and the availability of precise in vitro validation assays, accurate prediction of immunogenicity for therapeutic protein products, and more rapid translation of research discoveries into clinical success, may be within reach.

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Year:  2007        PMID: 17554860

Source DB:  PubMed          Journal:  Curr Opin Drug Discov Devel        ISSN: 1367-6733


  28 in total

1.  Pharmacogenetics and the immunogenicity of protein therapeutics.

Authors:  Chen Yanover; Nisha Jain; Glenn Pierce; Tom E Howard; Zuben E Sauna
Journal:  Nat Biotechnol       Date:  2011-10-13       Impact factor: 54.908

Review 2.  Molecular engineering of antibodies for therapeutic and diagnostic purposes.

Authors:  Frédéric Ducancel; Bruno H Muller
Journal:  MAbs       Date:  2012-07-01       Impact factor: 5.857

Review 3.  Bacterial cocaine esterase: a protein-based therapy for cocaine overdose and addiction.

Authors:  Diwahar Narasimhan; James H Woods; Roger K Sunahara
Journal:  Future Med Chem       Date:  2012-02       Impact factor: 3.808

4.  Computational design, functional analysis and antigenic epitope estimation of a novel hybrid of 12 peptides of hirudin and reteplase.

Authors:  Yingting Cai; Jingxiao Bao; Xingzhen Lao; Heng Zheng; Jianhua Chen; Rong Yu
Journal:  J Mol Model       Date:  2015-08-13       Impact factor: 1.810

5.  A fibronectin scaffold approach to bispecific inhibitors of epidermal growth factor receptor and insulin-like growth factor-I receptor.

Authors:  Stuart L Emanuel; Linda J Engle; Ginger Chao; Rong-Rong Zhu; Carolyn Cao; Zheng Lin; Aaron P Yamniuk; Jennifer Hosbach; Jennifer Brown; Elizabeth Fitzpatrick; Jochem Gokemeijer; Paul Morin; Brent A Morse; Irvith M Carvajal; David Fabrizio; Martin C Wright; Ruchira Das Gupta; Michael Gosselin; Daniel Cataldo; Rolf P Ryseck; Michael L Doyle; Tai W Wong; Raymond T Camphausen; Sharon T Cload; H Nicholas Marsh; Marco M Gottardis; Eric S Furfine
Journal:  MAbs       Date:  2011-01-01       Impact factor: 5.857

6.  Regulatory T cells and immune tolerance to coagulation factor IX in the context of intramuscular AAV1 gene transfer.

Authors:  Meagan Kelly; Arpita S Bharadwaj; Frank Tacke; Hengjun Chao
Journal:  Mol Ther       Date:  2009-11-24       Impact factor: 11.454

Review 7.  Stability of protein pharmaceuticals: an update.

Authors:  Mark Cornell Manning; Danny K Chou; Brian M Murphy; Robert W Payne; Derrick S Katayama
Journal:  Pharm Res       Date:  2010-02-09       Impact factor: 4.200

8.  Coupling of aggregation and immunogenicity in biotherapeutics: T- and B-cell immune epitopes may contain aggregation-prone regions.

Authors:  Sandeep Kumar; Satish K Singh; Xiaoling Wang; Bonita Rup; Davinder Gill
Journal:  Pharm Res       Date:  2011-03-25       Impact factor: 4.200

9.  Optimization algorithms for functional deimmunization of therapeutic proteins.

Authors:  Andrew S Parker; Wei Zheng; Karl E Griswold; Chris Bailey-Kellogg
Journal:  BMC Bioinformatics       Date:  2010-04-09       Impact factor: 3.169

10.  OptiTope--a web server for the selection of an optimal set of peptides for epitope-based vaccines.

Authors:  Nora C Toussaint; Oliver Kohlbacher
Journal:  Nucleic Acids Res       Date:  2009-05-06       Impact factor: 16.971

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