Machine Learning for Drug Discovery (MEAP 11) by Noah Flynn (.PDF)
File Size: 57.2 MB
Machine Learning for Drug Discovery (MEAP 11) by Noah Flynn
Requirements: .PDF reader, 57.2 MB | True PDF
Overview: Discover how Machine Learning, Deep Learning, and Generative AI have transformed the pharmaceutical pipeline as you get a hands-on introduction to building models with PyTorch—including diving into Deepmind’s Alphafold. Machine Learning for Drug Discovery introduces the fundamentals of drug discovery and cheminformatics along with the Machine Learning techniques used by leaders in the pharmaceutical industry. Each chapter guides you through an engaging hands-on project that explores a real medical issue. You’ll build a full screening pipeline to assess a compound’s potential for treating malaria, reproduce published methods for HIV drug design, learn to use deep generative models for novel drug optimization, and see how LLMs can overcome common problems of protein folding. All you need are the basics of Python. This book will teach you everything else.
Genre: Non-Fiction > Tech & Devices
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