Revolutionizing Drug Development
Harnessing AI and Computational Biology
by Jen-Tsung Chen
1st Edition
Publisher: Academic Press
Book Details
| Print ISBN | 9780443340598 |
| eText ISBN | 9780443340604 |
| Publisher | Academic Press |
| Publishing Year | 2026 |
| Edition | 1st Edition |
| Language | English |
| Pages | 354 |
The 1st Edition of Revolutionizing Drug Development: Harnessing AI and Computational Biology provides a structured reference on computational biology approaches used in contemporary therapeutic development. This reference volume details methods for creating new drugs through primary discovery, drug repurposing, and computational design.
The material presents cutting-edge artificial intelligence tools, incorporating machine learning algorithms, deep learning models, and generative AI. These computational systems assist researchers in evaluating structure-based drug design while establishing quantitative approaches for clinical trial design.
Published by Academic Press, this 354-page reference work provides essential subject coverage for students, teachers, professors, and researchers across biological and biomedical sciences. It connects theoretical data models directly to practical computational drug design techniques.
Table of Contents
Chapter 1: Artificial intelligence and accelerated computing in drug discovery: An updated overview
Chapter 2: AI strategies for drug discovery and bioactivity prediction: Opportunities and challenges
Chapter 3: AI technologies for drug repurposing: Methods and applications
Chapter 4: Data science and databases in drug discovery: Technical development and applications
Chapter 5: Graph neural networks for drug discovery: Protocols and applications
Chapter 6: Deep learning and generative models for drug discovery: Techniques and current achievements
Chapter 7: AI-enabled personalized medicine: Strategies and challenges
Chapter 8: AI technologies for advancing R&D in the pharmaceutical industry: Current development and challenges
Chapter 10: AI-powered drug development for treating neurological disorders
Chapter 11: AI applications in drug discovery for promoting longevity
Chapter 12: Transforming Drug Development with AI-driven Models
Chapter 13: AI technologies for precision and personalized medicine
Chapter 14: AI technologies for smart pharmacology
Chapter 15: AI-powered Immunopharmacological strategies to combat inflammatory diseases
Chapter 16: AI and nanotechnology for advancing drug development
Chapter 17: Drug repositioning using tensor decomposition
Chapter 18: Integrating Artificial Intelligence and machine learning technologies in antiviral drug discovery: Strategies and challenges
Chapter 19: Artificial intelligence in the discovery of new antibiotics
Chapter 20: AI-designed drugs: Clinical development and future directions
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