nanobodies

nanobodies aggregates nanobody sequence and structural data into the Integrated Database of Nanobodies for Immunoinformatics (INDI) to consolidate heterogeneous public sources and support immunoinformatics analyses.

Key Features:

• Data consolidation and standardization: Aggregates and standardizes nanobody sequence and structural data into INDI from heterogeneous public sources.
• Source integration: Harvests nanobody data from patents, GenBank, next-generation sequencing repositories, structural databases, and scientific publications.
• Scale: Provides access to over 11 million nanobody sequences.
• Search functionality: Supports sequence-based and text searches tailored to nanobody queries.
• Structured standardized format: Delivers sequence and structural information in a standardized, structured format for downstream analyses.
• Support for computational protocol development: Enables development of nanobody-specific computational methods and analyses.
• Nanobody biological characterization: Captures that nanobodies are camelid-derived single polypeptide-chain scaffolds with small size, enhanced stability, improved tumor penetration, and clinical approvals since 2018.

Scientific Applications:

• Therapeutic development: Accelerates clinical development of nanobody-based therapeutics by providing curated sequence and structural data.
• Immunoinformatics research: Enables immunoinformatics analyses and creation of nanobody-specific computational protocols.
• Sequence mining and discovery: Facilitates mining of patents, GenBank, next-generation sequencing repositories, structural databases, and publications for novel nanobody sequences.
• Structure–function analysis: Supports analyses that combine sequence and structural data for nanobody design and characterization.

Methodology:

Aggregates nanobody sequences and structures from patents, GenBank, next-generation sequencing repositories, structural databases, and scientific publications; standardizes and structures sequence and structural data within INDI; and provides sequence-based and text search access to the aggregated entries (over 11 million sequences).