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Immunoprecipitation

Immunoprecipitation

Immunoprecipitation, or IP, is a widely used technique that employs protein-antibody interactions to isolate proteins or protein complexes in their native state for studying protein-protein interactions, quaternary structures, or supramolecular complexes. Various modifications of the technique, including chromatin IP, cross-linking IP, and fluorescence IP, are commonly used.
Chromatin Immunoprecipitation
Chromatin immunoprecipitation, also known as ChIP, is used to study protein-DNA or...

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Related Experiment Video

Updated: Oct 14, 2025

Selection of Transporter-Targeted Inhibitory Nanobodies by Solid-Supported-Membrane SSM-Based Electrophysiology

Selection of Transporter-Targeted Inhibitory Nanobodies by Solid-Supported-Membrane SSM-Based Electrophysiology

Published on: May 3, 2021

INDI-integrated nanobody database for immunoinformatics.

Piotr Deszyński¹, Jakub Młokosiewicz¹, Adam Volanakis²

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

Nucleic Acids Research

|November 8, 2021

Summary

This summary is machine-generated.

The Integrated Database of Nanobodies for Immunoinformatics (INDI) provides a unified resource for nanobody data. This database accelerates the development of nanobody therapeutics by organizing diverse sequence and structure information.

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Last Updated: Oct 14, 2025

Selection of Transporter-Targeted Inhibitory Nanobodies by Solid-Supported-Membrane SSM-Based Electrophysiology

Selection of Transporter-Targeted Inhibitory Nanobodies by Solid-Supported-Membrane SSM-Based Electrophysiology

Published on: May 3, 2021

Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing

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Published on: March 15, 2019

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

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Published on: August 21, 2019

Area of Science:

Immunoinformatics
Biotechnology
Drug Discovery

Background:

Nanobodies are single-chain antibody fragments from camelids with therapeutic potential due to their small size, offering advantages like enhanced stability and tumor penetration.
The first nanobody therapeutic approval in 2018 validated their clinical viability, increasing interest in their development.
Publicly available nanobody sequence and structure data are rapidly accumulating but are fragmented across various sources, hindering efficient data retrieval and analysis.

Purpose of the Study:

To address the challenge of fragmented nanobody data by creating a centralized, standardized resource.
To facilitate the accelerated development of nanobody-based therapeutics through improved data accessibility.
To enable the creation of novel computational tools for nanobody research.

Main Methods:

Developed the Integrated Database of Nanobodies for Immunoinformatics (INDI).
INDI consolidates nanobody data from diverse public repositories including patents, GenBank, next-generation sequencing data, structural databases, and scientific literature.
Implemented powerful nanobody-specific sequence and text search functionalities.

Main Results:

INDI provides access to over 11 million nanobody sequences.
The database unifies heterogeneous data sources, overcoming limitations in standardization and harvesting.
Facilitates efficient retrieval of comprehensive nanobody information.

Conclusions:

INDI serves as a crucial resource for immunoinformatics and nanobody research.
The database is expected to accelerate the development of nanobody therapeutics by enabling advanced computational analysis.
INDI supports the realization of nanobodies' full therapeutic potential.