AbDiver: a tool to explore the natural antibody landscape to aid therapeutic design | Zendy

Jakub Młokosiewicz | Zendy; Piotr Deszyński | Zendy; Wiktoria Wilman | Zendy; Igor Jaszczyszyn | Zendy; Rajkumar Ganesan | Zendy; Aleksandr Kovaltsuk | Zendy; Jinwoo Leem | Zendy; Jacob D. Galson | Zendy; Konrad Krawczyk | Zendy

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AbDiver: a tool to explore the natural antibody landscape to aid therapeutic design

Author(s) -

Jakub Młokosiewicz,

Piotr Deszyński,

Wiktoria Wilman,

Igor Jaszczyszyn,

Rajkumar Ganesan,

Aleksandr Kovaltsuk,

Jinwoo Leem,

Jacob D. Galson,

Konrad Krawczyk

Publication year - 2022

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btac151

Subject(s) - computer science , antibody , sequence (biology) , set (abstract data type) , computational biology , antibody repertoire , biology , immunology , genetics , programming language

Rational design of therapeutic antibodies can be improved by harnessing the natural sequence diversity of these molecules. Our understanding of the diversity of antibodies has recently been greatly facilitated through the deposition of hundreds of millions of human antibody sequences in next-generation sequencing (NGS) repositories. Contrasting a query therapeutic antibody sequence to naturally observed diversity in similar antibody sequences from NGS can provide a mutational roadmap for antibody engineers designing biotherapeutics. Because of the sheer scale of the antibody NGS datasets, performing queries across them is computationally challenging.

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