Simplified synthetic antibody libraries.
ABSTRACT Synthetic antibody libraries are constructed from scratch using designed synthetic DNA. Precise control over design enables the use of highly optimized human frameworks and the introduction of defined chemical diversity at positions that are most likely to contribute to antigen recognition. We describe complete methods for the design, construction, and application of simplified synthetic antibody libraries built on a single human framework with diversity restricted to four complementarity-determining regions and two amino acids (tyrosine and serine). Despite the extreme simplicity of design, these libraries are capable of generating specific antibodies against diverse protein antigens. Moreover, the same methods can be used to build more complex libraries that can produce synthetic antibodies with affinities and specificities beyond the scope of natural antibodies. Most importantly, these simplified methods rely on standard supplies, equipment, and methods that are accessible to any molecular biology laboratory.
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ABSTRACT: BACKGROUND: The de novo design of a novel protein with a particular function remains a formidable challenge with only isolated and hard-to-repeat successes to date. Due to their many structurally conserved features, antibodies are a family of proteins amenable to predictable rational design. Design algorithms must consider the structural diversity of possible naturally occurring antibodies. The human immune system samples this design space (2 1012) by randomly combining variable, diversity, and joining genes in a process known as V-(D)-J recombination.DescriptionBy analyzing structural features found in affinity matured antibodies, a database of Modular Antibody Parts (MAPs) analogous to the variable, diversity, and joining genes has been constructed for the prediction of antibody tertiary structures. The database contains 929 parts constructed from an analysis of 1168 human, humanized, chimeric, and mouse antibody structures and encompasses all currently observed structural diversity of antibodies. CONCLUSIONS: The generation of 260 antibody structures shows that the MAPs database can be used to reliably predict antibody tertiary structures with an average all-atom RMSD of 1.9 A. Using the broadly neutralizing anti-influenza antibody CH65 and anti-HIV antibody 4E10 as examples, promising starting antibodies for affinity maturation are identified and amino acid changes are traced as antibody affinity maturation occurs.BMC Bioinformatics 05/2013; 14(1):168. · 3.02 Impact Factor