INDI—integrated nanobody database for immunoinformatics

Author:

Deszyński Piotr1,Młokosiewicz Jakub1,Volanakis Adam2,Jaszczyszyn Igor1,Castellana Natalie3,Bonissone Stefano3,Ganesan Rajkumar4,Krawczyk Konrad1ORCID

Affiliation:

1. NaturalAntibody, Al. Piastów 22, Szczecin, Poland

2. Harvard Medical School, 240 Longwood Ave, Boston, MA, USA

3. Abterra Biosciences Inc. 3030 Bunker Hill Street Suite 218, San Diego, CA 92109, USA

4. Alector, South San Francisco, CA 94080, USA

Abstract

Abstract Nanobodies, a subclass of antibodies found in camelids, are versatile molecular binding scaffolds composed of a single polypeptide chain. The small size of nanobodies bestows multiple therapeutic advantages (stability, tumor penetration) with the first therapeutic approval in 2018 cementing the clinical viability of this format. Structured data and sequence information of nanobodies will enable the accelerated clinical development of nanobody-based therapeutics. Though the nanobody sequence and structure data are deposited in the public domain at an accelerating pace, the heterogeneity of sources and lack of standardization hampers reliable harvesting of nanobody information. We address this issue by creating the Integrated Database of Nanobodies for Immunoinformatics (INDI, http://naturalantibody.com/nanobodies). INDI collates nanobodies from all the major public outlets of biological sequences: patents, GenBank, next-generation sequencing repositories, structures and scientific publications. We equip INDI with powerful nanobody-specific sequence and text search facilitating access to >11 million nanobody sequences. INDI should facilitate development of novel nanobody-specific computational protocols helping to deliver on the therapeutic promise of this drug format.

Funder

NaturalAntibody

Publisher

Oxford University Press (OUP)

Subject

Genetics

Reference45 articles.

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