Computational Antibody Design with Python: Modeling Sequences, Structures, and Developability for Therapeutic Antibodies

By: Arden, Livia

Reactive Publishing

This book provides a practical introduction to computational methods for antibody and biologic drug design using Python. It focuses on the core technical workflows used in modern therapeutic antibody engineering, from sequence analysis through structural modeling and developability assessment.

Readers will learn how to:

Work with antibody sequences and structures in PythonPerform sequence-structure modeling and analysisEvaluate affinity-related propertiesAssess key developability characteristics such as stability, solubility, and aggregation riskApply computational approaches to guide antibody engineering decisions

The material is organized around clear, reproducible Python examples and workflows suitable for computational biologists, bioinformaticians, and scientists working in biologics discovery or development. Emphasis is placed on practical implementation rather than theoretical abstraction, enabling readers to build and adapt pipelines for their own antibody design projects.

The book assumes intermediate familiarity with Python and basic molecular biology concepts. No prior experience with specialized antibody modeling software is required.

• Format: Paperback
• Language: English
• ISBN: B0HF77KCVM
• ISBN13: 9798192581476
• Release Date: August 2026
• Publisher: Independently Published
• Length: 610 Pages
• Weight: 1.60 lbs.
• Dimensions: 1.5" x 6.0" x 9.0"