Identification of Structurally Related Antibodies in Antibody Sequence Databases Using Rosetta-Derived Position-Specific Scoring

使用 Rosetta 衍生的位置特异性评分来鉴定抗体序列数据库中的结构相关抗体

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作者:Jessica A Finn, Jinhui Dong, Alexander M Sevy, Erica Parrish, Iuliia Gilchuk, Rachel Nargi, Morgan Scarlett-Jones, Walter Reichard, Robin Bombardi, Thomas G Voss, Jens Meiler, James E Crowe Jr

Abstract

The amount of antibody (Ab) variable gene sequence information is expanding rapidly, but our ability to predict the function of Abs from sequence alone is limited. Here, we describe a sequence-to-function prediction method that couples structural data for a single Ab/antigen (Ag) complex with repertoire data. We used a position-specific structure-scoring matrix (P3SM) incorporating structure-prediction scores from Rosetta to identify Ab variable loops that have predicted structural similarity to the influenza virus-specific human Ab CH65. The P3SM approach identified new members of this Ab class. Recombinant Ab expression, crystallography, and virus inhibition assays showed that the HCDR3 loops of the newly identified Abs possessed similar structure and antiviral activity as the comparator CH65. This approach enables discovery of new human Abs with desired structure and function using cDNA repertoires that are obtained readily with current amplicon sequencing techniques.

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