Research is the basis of our work in developing novel antibody-analytics pipelines. We publish the results of our work in collaboration with leading academic and industrial partners. You can see our publications below.

open books

Computational approaches to therapeutic antibody design: established methods and emerging trends

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.

Data mining patented antibody sequences

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.

Looking for therapeutic antibodies in next-generation sequencing repositories

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.