Literature DB >> 23103372

Robust in vitro affinity maturation strategy based on interface-focused high-throughput mutational scanning.

Yasuhiro Fujino1, Risako Fujita, Kouichi Wada, Kotomi Fujishige, Takashi Kanamori, Lindsey Hunt, Yoshihiro Shimizu, Takuya Ueda.   

Abstract

Development of protein therapeutics or biosensors often requires in vitro affinity maturation. Here we report a robust affinity engineering strategy using a custom designed library. The strategy consists of two steps beginning with identification of beneficial single amino acid substitutions then combination. A high quality combinatorial library specifically customized to a given binding-interface can be rapidly designed by high-throughput mutational scanning of single substitution libraries. When applied to the optimization of a model antibody Fab fragment, the strategy created a diverse panel of high affinity variants. The most potent variant achieved 2110-fold affinity improvement to an equilibrium dissociation constant (Kd) of 3.45 pM with only 7 amino acid substitutions. The method should facilitate affinity engineering of a wide variety of protein-protein interactions due to its context-dependent library design strategy.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 23103372     DOI: 10.1016/j.bbrc.2012.10.066

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  13 in total

1.  Deep Sequencing-guided Design of a High Affinity Dual Specificity Antibody to Target Two Angiogenic Factors in Neovascular Age-related Macular Degeneration.

Authors:  Patrick Koenig; Chingwei V Lee; Sarah Sanowar; Ping Wu; Jeremy Stinson; Seth F Harris; Germaine Fuh
Journal:  J Biol Chem       Date:  2015-06-18       Impact factor: 5.157

Review 2.  Hierarchical design of artificial proteins and complexes toward synthetic structural biology.

Authors:  Ryoichi Arai
Journal:  Biophys Rev       Date:  2017-12-14

Review 3.  Deep sequencing methods for protein engineering and design.

Authors:  Emily E Wrenbeck; Matthew S Faber; Timothy A Whitehead
Journal:  Curr Opin Struct Biol       Date:  2016-11-22       Impact factor: 6.809

4.  Tuning the specificity of a Two-in-One Fab against three angiogenic antigens by fully utilizing the information of deep mutational scanning.

Authors:  Patrick Koenig; Sarah Sanowar; Chingwei V Lee; Germaine Fuh
Journal:  MAbs       Date:  2017-06-06       Impact factor: 5.857

5.  Measuring the activity of protein variants on a large scale using deep mutational scanning.

Authors:  Douglas M Fowler; Jason J Stephany; Stanley Fields
Journal:  Nat Protoc       Date:  2014-08-28       Impact factor: 13.491

Review 6.  Engineering allostery.

Authors:  Srivatsan Raman; Noah Taylor; Naomi Genuth; Stanley Fields; George M Church
Journal:  Trends Genet       Date:  2014-10-08       Impact factor: 11.639

7.  Deep mutational scanning: a new style of protein science.

Authors:  Douglas M Fowler; Stanley Fields
Journal:  Nat Methods       Date:  2014-08       Impact factor: 28.547

8.  Measuring the sequence-affinity landscape of antibodies with massively parallel titration curves.

Authors:  Rhys M Adams; Thierry Mora; Aleksandra M Walczak; Justin B Kinney
Journal:  Elife       Date:  2016-12-30       Impact factor: 8.140

9.  Deep mutational scanning of an antibody against epidermal growth factor receptor using mammalian cell display and massively parallel pyrosequencing.

Authors:  Charles M Forsyth; Veronica Juan; Yoshiko Akamatsu; Robert B DuBridge; Minhtam Doan; Alexander V Ivanov; Zhiyuan Ma; Dixie Polakoff; Jennifer Razo; Keith Wilson; David B Powers
Journal:  MAbs       Date:  2013-05-29       Impact factor: 5.857

Review 10.  Rational Protein Engineering Guided by Deep Mutational Scanning.

Authors:  HyeonSeok Shin; Byung-Kwan Cho
Journal:  Int J Mol Sci       Date:  2015-09-23       Impact factor: 5.923

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