Find out more about the science behind our company.

Review of the recent developments in deep learning approaches to therapeutic antibody design, with implications for fully computational antibody design.

Natural Antibody Diversity Explorer – AbDiver

We created a tool to explore natural diversity of antibodies with the aim of facilitating development of novel antibody-based therapies. Our system allows you to search for variable region sequences or CDR3s in hundreds of millions of NGS sequences, acting as a reference for therapeutic design.

Nanobody Database

We made an extract of nanobodies from our large collection of antibody data. The database currently contains almost 12 million nanobody sequences, spanning NGS, patent, structural, GenBank and manually curated entries. Data are free to search and download.

Review of databases and computational tools in the antibody discovery and analytics ecosystem. It provides an overview of the opportunities in employing computational tools in identifying novel antibody-based therapeutics.

Analysis of the contents of our Patented Antibody Database. We demonstrate that majority of patent documents containing antibody sequences have a medical purpose and that there is a close sequence-identity correspondence between squences in patents and clinical use. Therefore, patented antibody sequences could provide a reflection of engineering choices in the design of monoclonal antibody therapies.

We demonstrated that it is possible to find very close matches to antibody therapeutics in clinical use and millions of naturally-sourced antibodies. It provides a theoretical foundation that such naturally-sourced repertoires can be mined for viable therapeutics.