{"product_id":"python-for-systems-pharmacology-and-network-medicine-building-predictive-models-of-drug-action-disease-networks-and-polypharmacology-9798199653060","title":"Python for Systems Pharmacology and Network Medicine: Building Predictive Models of Drug Action, Disease Networks, and Polypharmacology","description":"\u003cp\u003e • Author(s): Alice Schwartz | Livia Arden\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Programming Languages - Python\u003c\/p\u003e\u003cp\u003e\u003cb\u003eReactive Publishing\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003ePython 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.\u003c\/p\u003e\u003cp\u003eSystems 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.\u003c\/p\u003e\u003cp\u003eWhat You'll Learn: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eCore concepts in network medicine and systems pharmacology\u003c\/li\u003e\n\u003cli\u003eHow to construct and analyze biological networks (protein-protein, drug-target, disease networks)\u003c\/li\u003e\n\u003cli\u003eBuilding predictive models of drug action and side effects\u003c\/li\u003e\n\u003cli\u003eTechniques for studying polypharmacology and drug repurposing\u003c\/li\u003e\n\u003cli\u003eData integration from major pharmacological and biomedical databases\u003c\/li\u003e\n\u003cli\u003ePractical implementation using key Python libraries (NetworkX, Pandas, NumPy, SciPy, scikit-learn, and more)\u003c\/li\u003e\n\u003cli\u003eVisualization of complex biological networks and model interpretability\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eWritten 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.\u003c\/p\u003e\u003cp\u003eWhether 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.\u003c\/p\u003e\u003cp\u003ePerfect for: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eGraduate students and researchers in pharmacology, systems biology, and bioinformatics\u003c\/li\u003e\n\u003cli\u003eComputational biologists transitioning into drug discovery\u003c\/li\u003e\n\u003cli\u003eData scientists interested in biomedical applications\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47968553697431,"sku":"9798199653060","price":3369.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798199653060.webp?v=1782918528","url":"https:\/\/atlanticbooks.com\/products\/python-for-systems-pharmacology-and-network-medicine-building-predictive-models-of-drug-action-disease-networks-and-polypharmacology-9798199653060","provider":"Atlantic Books","version":"1.0","type":"link"}