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Updated: Jun 29, 2025

Laboratory Scale Production and Purification of a Therapeutic Antibody

Laboratory Scale Production and Purification of a Therapeutic Antibody

Published on: January 24, 2017

DOTAD: A Database of Therapeutic Antibody Developability.

Wenzhen Li¹, Hongyan Lin¹, Ziru Huang¹

¹School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, China.

Interdisciplinary Sciences, Computational Life Sciences

|March 26, 2024

Summary

This summary is machine-generated.

The DOTAD database provides crucial therapeutic antibody developability data, addressing a key challenge in computational drug discovery. This resource aids in developing better antibody therapies by offering accessible data and analysis tools.

Keywords:

Antibody development Database Developability Therapeutic antibody

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Last Updated: Jun 29, 2025

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Published on: September 14, 2018

Area of Science:

Biotechnology
Drug Discovery
Computational Biology

Background:

Assessing therapeutic antibody developability is vital for drug discovery but experimentally challenging.
Computational methods offer an efficient alternative but require extensive data for model training and validation.
A scarcity of accessible antibody developability data hinders the advancement of computational approaches.

Purpose of the Study:

To establish the first dedicated database for therapeutic antibody developability information.
To provide a centralized repository for antibody sequence data and developability metrics.
To facilitate the training and validation of computational models for antibody developability assessment.

Main Methods:

Curating therapeutic antibody sequence data from scientific literature.
Aggregating various developability metrics alongside sequence data.
Developing a web-based interface with integrated analytical tools.

Main Results:

The creation of DOTAD, the first database exclusively for therapeutic antibody developability.
Aggregation of comprehensive antibody sequence data and developability metrics.
Integration of advanced computational tools for data analysis and interpretation.

Conclusions:

DOTAD addresses the critical data gap in therapeutic antibody developability research.
The database serves as a valuable, freely accessible resource for the scientific community.
DOTAD supports the advancement of computational methods in antibody development and drug discovery.