Literature DB >> 22222459

Leveraging SBDD in protein therapeutic development: antibody engineering.

Gary L Gilliland1, Jinquan Luo, Omid Vafa, Juan Carlos Almagro.   

Abstract

Antibodies make up the largest, growing segment of protein therapeutics in the pharmaceutical and biotechnology industries. The development or engineering of therapeutic antibodies is based to a large extent on our knowledge of antibody structure and requires sophisticated methods that continue to evolve. In this chapter, after a review of what is known about the structure and functional properties of antibodies, the current, state-of-the-art antibody engineering methods are described. These methods include antibody humanization, antigen-affinity optimization, Fc engineering for modulated effector function and extended half-life, and engineering for improved stability and biophysical properties. X-ray crystallographic structures of antibody fragments and their complexes can play a critical role in guiding and, in some cases, accelerating these processes. These approaches represent guidelines for developing antibody therapeutics with the desired affinity, effector function, and biophysical properties.

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Year:  2012        PMID: 22222459     DOI: 10.1007/978-1-61779-520-6_14

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  16 in total

1.  VH-VL orientation prediction for antibody humanization candidate selection: A case study.

Authors:  Alexander Bujotzek; Florian Lipsmeier; Seth F Harris; Jörg Benz; Andreas Kuglstatter; Guy Georges
Journal:  MAbs       Date:  2016       Impact factor: 5.857

2.  New engineered antibodies against prions.

Authors:  Nives Škrlj; Marko Dolinar
Journal:  Bioengineered       Date:  2013-08-09       Impact factor: 3.269

Review 3.  The impact of structural biology in medicine illustrated with four case studies.

Authors:  Tiancen Hu; Elizabeth R Sprague; Michelle Fodor; Travis Stams; Kirk L Clark; Sandra W Cowan-Jacob
Journal:  J Mol Med (Berl)       Date:  2017-07-01       Impact factor: 4.599

4.  Variable region identical immunoglobulins differing in isotype express different paratopes.

Authors:  Alena Janda; Ertan Eryilmaz; Antonio Nakouzi; David Cowburn; Arturo Casadevall
Journal:  J Biol Chem       Date:  2012-08-28       Impact factor: 5.157

5.  RCSB Protein Data Bank: Enabling biomedical research and drug discovery.

Authors:  David S Goodsell; Christine Zardecki; Luigi Di Costanzo; Jose M Duarte; Brian P Hudson; Irina Persikova; Joan Segura; Chenghua Shao; Maria Voigt; John D Westbrook; Jasmine Y Young; Stephen K Burley
Journal:  Protein Sci       Date:  2019-11-29       Impact factor: 6.725

6.  The functional repertoire of rabbit antibodies and antibody discovery via next-generation sequencing.

Authors:  Sreekumar Kodangattil; Christine Huard; Cindy Ross; Jian Li; Huilan Gao; Alessandro Mascioni; Santosh Hodawadekar; Snehal Naik; Jessica Min-debartolo; Alberto Visintin; Juan C Almagro
Journal:  MAbs       Date:  2014-01-30       Impact factor: 5.857

Review 7.  Impact of the Protein Data Bank on antineoplastic approvals.

Authors:  John D Westbrook; Rose Soskind; Brian P Hudson; Stephen K Burley
Journal:  Drug Discov Today       Date:  2020-02-14       Impact factor: 7.851

Review 8.  How Structural Biologists and the Protein Data Bank Contributed to Recent FDA New Drug Approvals.

Authors:  John D Westbrook; Stephen K Burley
Journal:  Structure       Date:  2018-12-27       Impact factor: 5.006

9.  Natural and man-made V-gene repertoires for antibody discovery.

Authors:  William J J Finlay; Juan C Almagro
Journal:  Front Immunol       Date:  2012-11-15       Impact factor: 7.561

Review 10.  Open-access data: A cornerstone for artificial intelligence approaches to protein structure prediction.

Authors:  Stephen K Burley; Helen M Berman
Journal:  Structure       Date:  2021-05-12       Impact factor: 5.871

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