Python for Systems Pharmacology and Network Medicine: Building Predictive Models of Drug Action, Disease Networks, and Polypharmacology

Name: Python for Systems Pharmacology and Network Medicine: Building Predictive Models of Drug Action, Disease Networks, and Polypharmacology
Brand: Independently Published
SKU: 9798199653060
Price: 3369.0 INR
Availability: InStock

by Alice Schwartz , Livia Arden

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ISBN13: 9798199653060
Binding: Paperback
Subject: N/A
Publisher: Independently Published
Publisher Imprint: Independently Published
Publication Date: June 2, 2026
Pages: 466
Original Price: GBP 29.71
Language: English
Edition: N/A
Item Weight: 558 grams
BISAC Subject(s): Languages / Python

About The Book

Reactive Publishing

Python for Systems Pharmacology and Network Medicine offers a practical, code-first introduction to applying Python in one of the most dynamic areas of modern drug discovery and biomedical research.

Systems pharmacology and network medicine are transforming how we understand drug action, disease mechanisms, and therapeutic opportunities. This book bridges the gap between computational methods and biological complexity by teaching you how to build predictive models that integrate drug-target interactions, disease networks, and polypharmacology using Python.

What You'll Learn:

Core concepts in network medicine and systems pharmacology
How to construct and analyze biological networks (protein-protein, drug-target, disease networks)
Building predictive models of drug action and side effects
Techniques for studying polypharmacology and drug repurposing
Data integration from major pharmacological and biomedical databases
Practical implementation using key Python libraries (NetworkX, Pandas, NumPy, SciPy, scikit-learn, and more)
Visualization of complex biological networks and model interpretability

Written for researchers, pharmacologists, bioinformaticians, and data scientists working at the intersection of medicine and computation, this book emphasizes clear explanations, reproducible code examples, and real-world applications.

Whether you are exploring drug mechanisms, mapping disease networks, or developing next-generation predictive models, Python for Systems Pharmacology and Network Medicine provides the computational foundation you need to advance your work in this rapidly evolving field.

Perfect for:

Graduate students and researchers in pharmacology, systems biology, and bioinformatics
Computational biologists transitioning into drug discovery
Data scientists interested in biomedical applications

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