Apr 16 2024 Machine Learning for Drug Discovery (MEAP V01) BaDshaH LEARNING / e-Book 12:46 0 Machine Learning for Drug Discovery (MEAP V01)English | 2024 | ISBN: 9781633437661 | 245 pages | PDF,EPUB | 27.7 MB 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.Machine Learning for Drug Discovery introduces the machine learning and deep learning techniques that drive modern medical research. Each chapter explores a real-world example from the pharmaceutical industry, showing you hands-on how researchers investigate treatments for cancer, malaria, autoimmune diseases, and more.In Machine Learning for Drug Discovery you will learnDrug discovery and virtual screeningClassic ML, deep learning, and LLMs for drug discoveryUsingRDKit 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.about the bookMachine 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 foldingabout the readerAll you need are the basics of Python. This book will teach you everything else.about the authorNoah Flynn is a research scientist at Amazon with a PhD in Computational Biology from Washington University in St. Louis. He has developed deep learning applications to screen drugs for bioactivation, reactive metabolite formation, drug-drug interactions, and other types of toxicity problems. He has worked at AbbVie and Merckon analysis of gene regulatory networks and protein-protein interactions and applications of generative models to construct and optimize novel compound libraries. He now researches applications of large language models at Amazon.https://rapidgator.net/file/1465b1cf39c7cdf8f6978bcf68e2b118https://nitroflare.com/view/527AE8F97C57E59 Related News Deep Learning: Python Deep Learning MasterclassThe True Science Of CancerMedical Lab TechnicianAzure Data Engineering-Master 6 Real-World Projects + FabricGenerative Ai Fundamentals Specialization [5 Courses In One] Comments (0)Add comment Submit NEWEST RELEASES 30.04: SoftPerfect NetWorx 7.1.6 Multilingual Portable 30.04: PDF-XChange Pro 10.3.0.386.0 Multilingual Portable 29.04: Pixelmator Pro 3.5.10 macOS 29.04: AnyMP4 Blu-ray Ripper 9.0.58 macOS 29.04: PDF Expert 3.10.1 macOS 29.04: Apowersoft Video Download Capture 6.5.1.1 (Build 04/26/2024) Multilingual Portable 29.04: Passper for Excel 3.9.3.1 Multilingual 29.04: Passper for PowerPoint 3.9.3.1 Multilingual 29.04: Passper for Word 3.9.3.1 Multilingual 29.04: Passper for PDF 3.9.3.1 Multilingual Recommended Filehosts Freinds Site