Build AI Drug Discovery Pipelines
| title | Build AI Drug Discovery Pipelines |
| source | https://www.manning.com/books/build-ai-drug-discovery-pipelines |
| author | A Reviewer,Umesh,Andy P. |
| published | — |
| created | 2026-09-18 |
| description | 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.Build AI Drug Discovery Pipelines introduces the machine learning and deep learning techniques that drive modern medical research. Each chapter covers a real-world example from the pharmaceutical industry, showing you hands on how researchers investigate treatments for cancer, malaria, autoimmune diseases, and more. You'll even explore the techniques used to create Deepmind's Alphafold, in an in-depth case study of the groundbreaking model.In Build AI Drug Discovery Pipelines you will learn:Drug discovery and virtual screeningClassic ML, deep learning, and LLMs for drug discoveryUsing RDKit to analyze molecular dataCreating drug discovery models with PyTorchReplicating cutting-edge drug development researchMachine learning has accelerated the process of drug discovery, shortening the timeline for developing new medicines from decades to years or months. In this practical guide, you’ll learn to create the kind of machine learning models that make these discoveries possible. You'll work with a full implementation of the Alphafold model created by Google Deepmind and Nobel Prize Winner Sir Demis Hassabis, examine Nvidia's BioNeMo pipeline, and explore other industry models. |
| tags | clippings |
| read | |
| modified | 2026-09-18 |
1 min read
Build AI Drug Discovery Pipelines