Literature DB >> 22244834

Selection of antibodies from synthetic antibody libraries.

Noa Harel Inbar1, Itai Benhar.   

Abstract

More than 2 dozen years had passed since the field of antibody engineering was established, with the first reports of bacterial [1-3] and mammalian cells [4] expression of recombinant antibody fragments, and in that time a lot of effort was dedicated to the development of efficient technological means, intended to assist in the creation of therapeutic monoclonal antibodies (mAbs). Research focus was given to two intertwined technological aspects: the selection platform and the recombinant antibody repertoires. In accordance with these areas of interest, it is the goal of this chapter to describe the various selection tools and antibody libraries existing, with emphasis on the later, and their applications. This chapter gives a far from exhaustive, subjective "historic account" of the field, describing the selection platforms, the different formats of antibody repertoires and the applications of both for selecting recombinant antibodies. Several excellent books provide detailed protocols for constructing antibody libraries and selecting antibodies from those libraries [5-13]. Such books may guide a newcomer to the field in the fine details of antibody engineering. We would like to offer advice to the novice: although seemingly simple, effective library construction and antibody isolation provide best benefits in the hands of professionals. It is an art as much as it is science.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22244834     DOI: 10.1016/j.abb.2011.12.028

Source DB:  PubMed          Journal:  Arch Biochem Biophys        ISSN: 0003-9861            Impact factor:   4.013


  4 in total

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Journal:  MAbs       Date:  2015-12-14       Impact factor: 5.857

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3.  CDR-H3 diversity is not required for antigen recognition by synthetic antibodies.

Authors:  Helena Persson; Wei Ye; Amy Wernimont; Jarrett J Adams; Akiko Koide; Shohei Koide; Robert Lam; Sachdev S Sidhu
Journal:  J Mol Biol       Date:  2012-12-03       Impact factor: 5.469

4.  ABodyBuilder: Automated antibody structure prediction with data-driven accuracy estimation.

Authors:  Jinwoo Leem; James Dunbar; Guy Georges; Jiye Shi; Charlotte M Deane
Journal:  MAbs       Date:  2016-07-08       Impact factor: 5.857

  4 in total

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