AI in Drug Discovery - AlphaFold3 & Virtual Screening

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Free Download AI in Drug Discovery - AlphaFold3 & Virtual Screening
Published 12/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 46m | Size: 4.74 GB
Master AlphaFold 3 and Virtual Screening to Accelerate the Drug Discovery Using AI from Targets to Leads.

What you'll learn
The Career Pivoter - Joining the AI Drug Discovery
Academic Researchers
Digital Transformation Leads
Future Bio-Entrepreneurs
Requirements
Fundamental Biology & Chemistry
General AI/ML Knowledge
Scientific Curiosity
Description
Unlock the Future of Drugs Discovery with AI: A Comprehensive to Molecular Design and Scalable AI.The pharmaceutical industry is at a breaking point. With drug development costs exceeding $2 billion and success rates hovering below 10%, the traditional "trial and error" method is no longer sustainable. AI-Driven Drug Discovery and Manufacturing is the solution the industry has been waiting for. This course provides a complete, end-to-end blueprint for using Artificial Intelligence to revolutionize how we find, design, and produce life-saving medicines.We begin by diving into the AlphaFold Revolution. You will learn how to leverage AlphaFold 3 to solve the protein-folding problem, predicting complex 3D structures and protein-protein interactions with unprecedented accuracy. From there, you will master Structure-Based Drug Design (SBDD), moving beyond simple docking to AI-enhanced scoring functions that predict binding affinity more reliably than ever before.What sets this course apart is its holistic approach. We don't stop at discovery; we bridge the gap between the lab and the factory. You will explore:Generative AI: Using VAEs and GANs to "invent" novel molecules with optimized properties.Predictive ADMET: Reducing clinical failure by predicting toxicity and metabolism in silico.Case Studies: Real-world breakdowns of AI-designed drugs like Halicin and Rentosertib.AI in Manufacturing: Utilizing Machine Learning for Quality by Design (QbD) and optimizing the chemical synthesis of the Active Pharmaceutical Ingredient (API).Whether you are a biologist looking to master computational tools, a data scientist pivoting into biotech, or a manufacturing professional optimizing formulations, this course provides the hands-on exercises and theoretical depth needed to excel in the "Self-Driving Lab" era.Join us to gain the technical expertise required to shorten discovery timelines from years to months and play a pivotal role in the next generation of pharmacology.
Who this course is for
Bioinformaticians & Computational Chemists: Professionals looking to upgrade their toolkit with Generative AI, AlphaFold 3 workflows, and automated retrosynthesis.
Pharmaceutical Scientists & Pharmacologists: Traditional "wet-lab" researchers who want to understand the "dry-lab" AI revolution to better collaborate with computational teams or transition into In Silico roles.
Data Scientists & AI Engineers: Tech professionals looking to pivot into the high-impact field of HealthTech and Drug Discovery by learning how to apply Deep Learning to biological data.
Graduate Students (Masters/PhD): Students in Pharmacy, Biotech, or Computer Science seeking a practical, industry-aligned supplement to their academic studies.
Biotech Entrepreneurs & Product Managers: Non-technical leaders who need to understand the realistic capabilities (and limitations) of AI to lead drug discovery startups or innovation teams.
Process Engineers & Manufacturing Specialists: Those interested in the final "API" stage-how AI optimizes chemical synthesis, formulation, and Quality by Design (QbD) in a factory setting.
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4.74 GB | 12min 57s | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English​

Files Included :

Spoiler

FileName :1 Introduction.mp4 | Size: (41.03 MB)
FileName :2 Course Content.mp4 | Size: (83.44 MB)
FileName :3 Introduction to Chapter 1 AI in Drug Discovery.mp4 | Size: (100.53 MB)
FileName :4 The Drug Discovery Crisis.mp4 | Size: (153.15 MB)
FileName :5 AI Role in Drug Discovery.mp4 | Size: (87.44 MB)
FileName :6 AI Data Infrastructure for The Pharmaceutical Industry.mp4 | Size: (135.31 MB)
FileName :7 AI Data Infrastructure for The Pharmaceutical Industry Part 2.mp4 | Size: (88.76 MB)
FileName :8 Practical Demo the Drug Bank Database.mp4 | Size: (86.05 MB)
FileName :9 Practical Demo The Proteins Database.mp4 | Size: (111.49 MB)
FileName :10 1 4 Machine Learning In Chemistry.mp4 | Size: (116.43 MB)
FileName :11 1 4 Practical Example Machine Learning in Chemistry.mp4 | Size: (150.41 MB)
FileName :12 Chapter Content.mp4 | Size: (43 MB)
FileName :13 Introduction to Protiens.mp4 | Size: (86.44 MB)
FileName :14 2 1 Introduction to Amino Acids.mp4 | Size: (77.64 MB)
FileName :15 2 1 Introduction to Proteins Structure.mp4 | Size: (63.92 MB)
FileName :16 2 1 Introduction to Proteins Structure Details.mp4 | Size: (44.55 MB)
FileName :17 2 2 Proteins Structure.mp4 | Size: (79.43 MB)
FileName :18 2 2 Proteins Structures Database.mp4 | Size: (43.16 MB)
FileName :19 2 2 The Protein Folding Problem.mp4 | Size: (120.07 MB)
FileName :20 2 3 What is Alpha Fold 2 3.mp4 | Size: (160.94 MB)
FileName :21 2 3 Practical Demo What is Alpha Fold.mp4 | Size: (125.84 MB)
FileName :22 2 4 Alpha Fold Testing & Validation.mp4 | Size: (106.17 MB)
FileName :23 2 4 Alpha Fold Use Cases.mp4 | Size: (71.61 MB)
FileName :24 2 5 How Alpha Fold Work.mp4 | Size: (76.53 MB)
FileName :25 2 51 Alpha Fold Confidence Metrics.mp4 | Size: (46.49 MB)
FileName :26 2 52 Confidence Scores for AlphaFold Multimier.mp4 | Size: (98.13 MB)
FileName :27 2 5 Practical Demo Alpha Fold Confidence Metrics.mp4 | Size: (76.54 MB)
FileName :28 2 6 Accessing Alpha Fold.mp4 | Size: (116.59 MB)
FileName :29 2 7 Advanced Modelling Applications Using Alpha Fold 3.mp4 | Size: (194.9 MB)
FileName :30 2 8 Introduction to Alpha Fold 3.mp4 | Size: (230.54 MB)
FileName :31 3 1 Introduction to the Chapter.mp4 | Size: (55.31 MB)
FileName :32 3 1 Fundamental Molecular Docking Principles.mp4 | Size: (46.15 MB)
FileName :33 3 1 Installing AutoDock Vina and MGL tools.mp4 | Size: (92.32 MB)
FileName :34 3 1 Introduction to Molecular Docking.mp4 | Size: (160.98 MB)
FileName :35 Introduction to Molecular Docking Modes.mp4 | Size: (69.17 MB)
FileName :36 3 2 Introduction to Scoring Functions.mp4 | Size: (196.18 MB)
FileName :37 3 21 Types of Scoring Functions.mp4 | Size: (131.88 MB)
FileName :38 2 23 Limitations of Scoring Functions.mp4 | Size: (94.06 MB)
FileName :39 2 24 Machine Learning for Scoring Functions.mp4 | Size: (195.13 MB)
FileName :40 2 25 Scoring Functions Strategies.mp4 | Size: (46.49 MB)
FileName :41 Practical Demo Proteins Single Ligand Interactions Part 1.mp4 | Size: (150.22 MB)
FileName :42 Practical Demo Proteins Single Ligand Interactions Part 2.mp4 | Size: (53.24 MB)
FileName :43 2 3 Introduction to High Output Virtual Screening.mp4 | Size: (101.81 MB)
FileName :44 2 4 AI Assisted Virtual Docking.mp4 | Size: (118.14 MB)
FileName :45 3 42 AI Assisted Virtual Docking 2.mp4 | Size: (45.36 MB)
FileName :46 3 5 Case Study Virtual Screening for Alpha Fold Targets.mp4 | Size: (178.2 MB)

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